Multi-Channel Decorrelator, Multi-Channel Audio Decoder, Multi-Channel Audio Encoder, Methods and Computer Program using a Premix of Decorrelator Input Signals

ABSTRACT

A multi-channel decorrelator for providing a plurality of decorrelated signals on the basis of a plurality of decorrelator input signals is configured to premix a first set of N decorrelator input signals into a second set of K decorrelator input signals, wherein K&lt;N. The multi-channel decorrelator is configured to provide a first set of K′ decorrelator output signals on the basis of the second set of K decorrelator input signals. The multi-channel decorrelator is further configured to upmix the first set of K′ decorrelator output signals into a second set of N′ decorrelator output signals, wherein N′&gt;K′. The multi-channel decorrelator can be used in a multi-channel audio decoder. A multi-channel audio encoder provides complexity control information for the multi-channel decorrelator.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a divisional of U.S. patent application Ser. No.15/004,738, filed Jan. 22, 2016, which is a continuation ofInternational Application No. PCT/EP2014/065395, filed Jul. 17, 2014,which claims priority from European Application No. 13177374.9, filedJul. 22, 2013, and from European Application No. 13189339.8, filed Oct.18, 2013, which are each incorporated herein in its entirety by thisreference thereto.

BACKGROUND OF THE INVENTION

Embodiments according to the invention are related to a multi-channeldecorrelator for providing a plurality of decorrelated signals on thebasis of a plurality of decorrelator input signals.

Further embodiments according to the invention are related to amulti-channel audio decoder for providing at least two output audiosignals on the basis of an encoded representation.

Further embodiments according to the invention are related to amulti-channel audio encoder for providing an encoded representation onthe basis of at least two input audio signals.

Further embodiments according to the invention are related to a methodfor providing a plurality of decorrelated signals on the basis of aplurality of decorrelator input signals.

Some embodiments according to the invention are related to a method forproviding at least two output audio signals on the basis of an encodedrepresentation.

Some embodiments according to the invention are related to a method forproviding an encoded representation on the basis of at least two inputaudio signals.

Some embodiments according to the invention are related to a computerprogram for performing one of said methods.

Some embodiments according to the invention are related to an encodedaudio representation.

Generally speaking, some embodiments according to the invention arerelated to a decorrelation concept for multi-channel downmix/upmixparametric audio object coding systems.

In recent years, demand for storage and transmission of audio contentshas steadily increased. Moreover, the quality requirements for thestorage and transmission of audio contents have also steadily increased.Accordingly, the concepts for the encoding and decoding of audio contenthave been enhanced.

For example, the so called “Advanced Audio Coding” (AAC) has beendeveloped, which is described, for example, in the internationalstandard ISO/IEC 13818-7:2003. Moreover, some spatial extensions havebeen created, like for example the so called “MPEG Surround” concept,which is described, for example, in the international standard ISO/IEC23003-1:2007. Moreover, additional improvements for encoding anddecoding of spatial information of audio signals are described in theinternational standard ISO/IEC 23003-2:2010, which relates to the socalled “Spatial Audio Object Coding”.

Moreover, a switchable audio encoding/decoding concept which providesthe possibility to encode both general audio signals and speech signalswith good coding efficiency and to handle multi-channel audio signals isdefined in the international standard ISO/IEC 23003-3:2012, whichdescribes the so called “Unified Speech and Audio Coding” concept.

Moreover, further conventional concepts are described in the references,which are mentioned at the end of the present description.

However, there is a desire to provide an even more advanced concept foran efficient coding and decoding of 3-dimensional audio scenes.

SUMMARY

An embodiment may have a multi-channel decorrelator for providing aplurality of decorrelated signals on the basis of a plurality ofdecorrelator input signals,

wherein the multi-channel decorrelator is configured to premix a firstset of N decorrelator input signals into a second set of K decorrelatorinput signals, wherein K<N;wherein the multi-channel decorrelator is configured to provide a firstset of K′ decorrelator output signals on the basis of the second set ofK decorrelator input signals; andwherein the multi-channel decorrelator is configured to upmix the firstset of K′ decorrelator output signals into a second set of N′decorrelator output signals, wherein N′>K′;wherein the multi-channel decorrelator is configured to premix the firstset {circumflex over (Z)} of N decorrelator input signals into thesecond set {circumflex over (Z)}_(mix) of K decorrelator input signalsusing a premixing matrix M_(pre) according to

{circumflex over (Z)} _(mix) =M _(pre) {circumflex over (Z)}

wherein the multi-channel decorrelator is configured to obtain the firstset {circumflex over (Z)}_(mix) ^(dec) of K′ decorrelator output signalson the basis of the second set {circumflex over (Z)}_(mix) of Kdecorrelator input signals, and wherein the multi-channel decorrelatoris configured to upmix the first set {circumflex over (Z)}_(mix) ^(dec)of K′ decorrelator output signals into the second set W of N′decorrelator output signals using a postmixing matrix M_(post) accordingto

W=M _(post) {circumflex over (Z)} _(mix) ^(dec),

wherein the multi-channel decorrelator is configured to select thepremixing matrix M_(pre) in dependence on spatial positions to which thechannel signals of the first set {circumflex over (Z)} of N decorrelatorinput signals are associated.

Another embodiment may have a multi-channel audio decoder for providingat least two output audio signals on the basis of an encodedrepresentation,

wherein the multi-channel audio decoder has a multi-channel decorrelatoras mentioned above.

Another embodiment may have a multi-channel audio encoder for providingan encoded representation on the basis of at least two input audiosignals,

wherein the multi-channel audio encoder is configured to provide one ormore downmix signals on the basis of the at least two input audiosignals, andwherein the multi-channel audio encoder is configured to provide one ormore parameters describing a relationship between the at least two inputaudio signals, andwherein the multi-channel audio encoder is configured to provide adecorrelation complexity parameter describing a complexity of adecorrelation to be used at the side of an audio decoder.

According to another embodiment, a method for providing a plurality ofdecorrelated signals on the basis of a plurality of decorrelator inputsignals may have the steps of:

premixing a first set of N decorrelator input signals into a second setof K decorrelator input signals, wherein K<N;providing a first set of K′ decorrelator output signals on the basis ofthe second set of K decorrelator input signals; andupmixing the first set of K′ decorrelator output signals into a secondset of N′ decorrelator output signals, wherein N′>K′.wherein the first set {circumflex over (Z)} of N decorrelator inputsignals is premixed into the second set {circumflex over (Z)}_(mix) of Kdecorrelator input signals using a premixing matrix M_(pre) according to

{circumflex over (Z)} _(mix) =M _(pre) {circumflex over (Z)}

wherein the first set {circumflex over (Z)}_(mix) ^(dec) of K′decorrelator output signals is obtained on the basis of the second set{circumflex over (Z)}_(mix) of K decorrelator input signals, andwherein the first set {circumflex over (Z)}_(mix) ^(dec) of K′decorrelator output signals is upmixed into the second set W of N′decorrelator output signals using a postmixing matrix M_(post) accordingto

W=M _(post) {circumflex over (Z)} _(mix) ^(dec),

wherein the premixing matrix M_(pre) is selected in dependence onspatial positions to which the channel signals of the first set{circumflex over (Z)} of N decorrelator input signals are associated

Another embodiment may have a method for providing at least two outputaudio signals on the basis of an encoded representation,

wherein the method has providing a plurality of decorrelated signals onthe basis of a plurality of decorrelator input signals as mentionedabove.

According to another embodiment, a method for providing an encodedrepresentation on the basis of at least two input audio signals may havethe steps of:

providing one or more downmix signals on the basis of the at least twoinput audio signals, andproviding one or more parameters describing a relationship between theat least two input audio signals, andproviding a decorrelation complexity parameter describing a complexityof a decorrelation to be used at the side of an audio decoder.

Another embodiment may have a computer program for performing the abovemethods when the computer program runs on a computer.

According to another embodiment, an encoded audio representation mayhave:

an encoded representation of a downmix signal;an encoded representation of one or more parameters describing arelationship between the at least two input audio signals, andan encoded decorrelation complexity parameter describing a complexity ofa decorrelation to be used at the side of an audio decoder.

Still another embodiment may have a multi-channel decorrelator forproviding a plurality of decorrelated signals on the basis of aplurality of decorrelator input signals,

wherein the multi-channel decorrelator is configured to premix a firstset of N decorrelator input signals into a second set of K decorrelatorinput signals, wherein K<N;wherein the multi-channel decorrelator is configured to provide a firstset of K′ decorrelator output signals on the basis of the second set ofK decorrelator input signals; andwherein the multi-channel decorrelator is configured to upmix the firstset of K′ decorrelator output signals into a second set of N′decorrelator output signals, wherein N′>K′;wherein the multi-channel decorrelator is configured to premix the firstset {circumflex over (Z)} of N decorrelator input signals into thesecond set {circumflex over (Z)}_(mix) of K decorrelator input signalsusing a premixing matrix M_(pre) according to

{circumflex over (Z)} _(mix) =M _(pre) {circumflex over (Z)}

wherein the multi-channel decorrelator is configured to obtain the firstset {circumflex over (Z)}_(mix) ^(dec) of K′ decorrelator output signalson the basis of the second set {circumflex over (Z)}_(mix) of Kdecorrelator input signals, andwherein the multi-channel decorrelator is configured to upmix the firstset {circumflex over (Z)}_(mix) ^(dec) of K′ decorrelator output signalsinto the second set W of N′ decorrelator output signals using apostmixing matrix M_(post) according to

W=M _(post) {circumflex over (Z)} _(mix) ^(dec);

wherein the multi-channel decorrelator is configured to select thepremixing matrix M_(pre) in dependence on correlation characteristics orcovariance characteristics of the channel signals of the first set{circumflex over (Z)} of N decorrelator input signals.

Another embodiment may have a multi-channel decorrelator for providing aplurality of decorrelated signals on the basis of a plurality ofdecorrelator input signals,

wherein the multi-channel decorrelator is configured to premix a firstset of N decorrelator input signals into a second set of K decorrelatorinput signals, wherein K<N;wherein the multi-channel decorrelator is configured to provide a firstset of K′ decorrelator output signals on the basis of the second set ofK decorrelator input signals; andwherein the multi-channel decorrelator is configured to upmix the firstset of K′ decorrelator output signals into a second set of N′decorrelator output signals, wherein N′>K′;wherein the multi-channel decorrelator is configured to premix the firstset {circumflex over (Z)} of N decorrelator input signals into thesecond set {circumflex over (Z)}_(mix) of K decorrelator input signalsusing a premixing matrix M_(pre) according to

{circumflex over (Z)} _(mix) =M _(pre) {circumflex over (Z)}

wherein the multi-channel decorrelator is configured to obtain the firstset {circumflex over (Z)}_(mix) ^(dec) of K′ decorrelator output signalson the basis of the second set {circumflex over (Z)}_(mix) of Kdecorrelator input signals, andwherein the multi-channel decorrelator is configured to upmix the firstset {circumflex over (Z)}_(mix) ^(dec) of K′ decorrelator output signalsinto the second set W of N′ decorrelator output signals using apostmixing matrix M_(post) according to

W=M _(post) {circumflex over (Z)} _(mix) ^(dec);

wherein the multi-channel decorrelator is configured to obtain thepostmixing matrix M_(post) according to

M _(post) =M _(pre) ^(H)(M _(pre) M _(pre) ^(H))⁻¹.

Another embodiment may have a multi-channel decorrelator for providing aplurality of decorrelated signals on the basis of a plurality ofdecorrelator input signals,

wherein the multi-channel decorrelator is configured to premix a firstset of N decorrelator input signals into a second set of K decorrelatorinput signals, wherein K<N;wherein the multi-channel decorrelator is configured to provide a firstset of K′ decorrelator output signals on the basis of the second set ofK decorrelator input signals; andwherein the multi-channel decorrelator is configured to upmix the firstset of K′ decorrelator output signals into a second set of N′decorrelator output signals, wherein N′>K′;wherein the multi-channel decorrelator is configured to receive aninformation about a rendering configuration associated with the channelsignals of the first set of N decorrelator input signals, and whereinthe multi-channel decorrelator is configured to select a premixingmatrix in dependence on the information about the renderingconfiguration.

Another embodiment may have a multi-channel decorrelator for providing aplurality of decorrelated signals on the basis of a plurality ofdecorrelator input signals,

wherein the multi-channel decorrelator is configured to premix a firstset of N decorrelator input signals into a second set of K decorrelatorinput signals, wherein K<N;wherein the multi-channel decorrelator is configured to provide a firstset of K′ decorrelator output signals on the basis of the second set ofK decorrelator input signals; andwherein the multi-channel decorrelator is configured to upmix the firstset of K′ decorrelator output signals into a second set of N′decorrelator output signals, wherein N′>K′;wherein the multi-channel decorrelator is configured to combine channelsignals of the first set of N decorrelator input signals which areassociated with spatially adjacent positions of an audio scene whenperforming the premixing.

Another embodiment may have a multi-channel decorrelator for providing aplurality of decorrelated signals on the basis of a plurality ofdecorrelator input signals,

wherein the multi-channel decorrelator is configured to premix a firstset of N decorrelator input signals into a second set of K decorrelatorinput signals, wherein K<N;wherein the multi-channel decorrelator is configured to provide a firstset of K′ decorrelator output signals on the basis of the second set ofK decorrelator input signals; andwherein the multi-channel decorrelator is configured to upmix the firstset of K′ decorrelator output signals into a second set of N′decorrelator output signals, wherein N′>K′;wherein the multi-channel decorrelator is configured to combine channelsignals of the first set of N decorrelator input signals which areassociated with a horizontal pair of spatial positions having a leftside position and a right side position.

Another embodiment may have a multi-channel decorrelator for providing aplurality of decorrelated signals on the basis of a plurality ofdecorrelator input signals,

wherein the multi-channel decorrelator is configured to premix a firstset of N decorrelator input signals into a second set of K decorrelatorinput signals, wherein K<N;wherein the multi-channel decorrelator is configured to provide a firstset of K′ decorrelator output signals on the basis of the second set ofK decorrelator input signals; andwherein the multi-channel decorrelator is configured to upmix the firstset of K′ decorrelator output signals into a second set of N′decorrelator output signals, wherein N′>K′;wherein the multi-channel decorrelator is configured to combine at leastfour channel signals of the first set of N decorrelator input signals,wherein at least two of said at least four channel signals areassociated with spatial positions on a left side of an audio scene, andwherein at least two of said at least four channel signals areassociated with spatial positions on a right side of the audio scene.

Another embodiment may have a multi-channel decorrelator for providing aplurality of decorrelated signals on the basis of a plurality ofdecorrelator input signals,

wherein the multi-channel decorrelator is configured to premix a firstset of N decorrelator input signals into a second set of K decorrelatorinput signals, wherein K<N;wherein the multi-channel decorrelator is configured to provide a firstset of K′ decorrelator output signals on the basis of the second set ofK decorrelator input signals; andwherein the multi-channel decorrelator is configured to upmix the firstset of K′ decorrelator output signals into a second set of N′decorrelator output signals, wherein N′>K′;wherein the multi-channel decorrelator is configured to receive acomplexity information describing a number K of decorrelator inputsignals of the second set of decorrelator input signals, and wherein themulti-channel decorrelator is configured to select a premixing matrix independence on the complexity information.

Still another embodiment may have a multi-channel audio decoder forproviding at least two output audio signals on the basis of an encodedrepresentation,

wherein the multi-channel audio decoder has a multi-channel decorrelatorfor providing a plurality of decorrelated signals on the basis of aplurality of decorrelator input signals,wherein the multi-channel decorrelator is configured to premix a firstset of N decorrelator input signals into a second set of K decorrelatorinput signals, wherein K<N;wherein the multi-channel decorrelator is configured to provide a firstset of K′ decorrelator output signals on the basis of the second set ofK decorrelator input signals; andwherein the multi-channel decorrelator is configured to upmix the firstset of K′ decorrelator output signals into a second set of N′decorrelator output signals, wherein N′>K′;wherein the multi-channel audio decoder is configured to select apremixing matrix for usage by the multi-channel decorrelator independence on an output configuration describing an allocation of theoutput audio signals with spatial positions of an audio scene.

Another embodiment may have a multi-channel audio decoder for providingat least two output audio signals on the basis of an encodedrepresentation,

wherein the multi-channel audio decoder has a multi-channel decorrelatorfor providing a plurality of decorrelated signals on the basis of aplurality of decorrelator input signals,wherein the multi-channel decorrelator is configured to premix a firstset of N decorrelator input signals into a second set of K decorrelatorinput signals, wherein K<N;wherein the multi-channel decorrelator is configured to provide a firstset of K′ decorrelator output signals on the basis of the second set ofK decorrelator input signals; andwherein the multi-channel decorrelator is configured to upmix the firstset of K′ decorrelator output signals into a second set of N′decorrelator output signals, wherein N′>K′;wherein the multi-channel audio decoder is configured to select betweenthree or more different premixing matrices for usage by themulti-channel decorrelator in dependence on a control informationincluded in the encoded representation for a given output configuration,wherein each of the three or more different premixing matrices isassociated with a different number of signals of the second set of Kdecorrelator input signals.

Another embodiment may have a multi-channel audio decoder for providingat least two output audio signals on the basis of an encodedrepresentation,

wherein the multi-channel audio decoder has a multi-channel decorrelatorfor providing a plurality of decorrelated signals on the basis of aplurality of decorrelator input signals,wherein the multi-channel decorrelator is configured to premix a firstset of N decorrelator input signals into a second set of K decorrelatorinput signals, wherein K<N;wherein the multi-channel decorrelator is configured to provide a firstset of K′ decorrelator output signals on the basis of the second set ofK decorrelator input signals; andwherein the multi-channel decorrelator is configured to upmix the firstset of K′ decorrelator output signals into a second set of N′decorrelator output signals, wherein N′>K′;wherein the multi-channel audio decoder is configured to select apremixing matrix for usage by the multi-channel decorrelator independence on a mixing matrix which is used by an format converter orrenderer which receives the at least two output audio signals.

According to another embodiment, a method for providing a plurality ofdecorrelated signals on the basis of a plurality of decorrelator inputsignals may have the steps of: premixing a first set of N decorrelatorinput signals into a second set of K decorrelator input signals, whereinK<N;

providing a first set of K′ decorrelator output signals on the basis ofthe second set of K decorrelator input signals; andupmixing the first set of K′ decorrelator output signals into a secondset of N′ decorrelator output signals, wherein N′>K′;wherein the first set {circumflex over (Z)} of N decorrelator inputsignals is premixed into the second set {circumflex over (Z)}_(mix) of Kdecorrelator input signals using a premixing matrix M_(pre) according to

{circumflex over (Z)} _(mix) =M _(pre) {circumflex over (Z)}

wherein the first set {circumflex over (Z)}_(mix) ^(dec) of K′decorrelator output signals is obtained on the basis of the second set{circumflex over (Z)}_(mix) of K decorrelator input signals, andwherein the first set {circumflex over (Z)}_(mix) ^(dec) of K′decorrelator output signals is upmixed into the second set W of N′decorrelator output signals using a postmixing matrix M_(post) accordingto

W=M _(post) {circumflex over (Z)} _(mix) ^(dec);

wherein the premixing matrix M_(pre) is selected in dependence oncorrelation characteristics or covariance characteristics of the channelsignals of the first set {circumflex over (Z)} of N decorrelator inputsignals.

According to another embodiment, a method for providing a plurality ofdecorrelated signals on the basis of a plurality of decorrelator inputsignals may have the steps of:

premixing a first set of N decorrelator input signals into a second setof K decorrelator input signals, wherein K<N;providing a first set of K′ decorrelator output signals on the basis ofthe second set of K decorrelator input signals; andupmixing the first set of K′ decorrelator output signals into a secondset of N′ decorrelator output signals, wherein N′>K′;wherein the first set {circumflex over (Z)} of N decorrelator inputsignals is premixed into the second set {circumflex over (Z)}_(mix) of Kdecorrelator input signals using a premixing matrix M_(pre) according to

{circumflex over (Z)} _(mix) =M _(pre) {circumflex over (Z)}

wherein the first set {circumflex over (Z)}_(mix) ^(dec) of K′decorrelator output signals is obtained on the basis of the second set{circumflex over (Z)}_(mix) of K decorrelator input signals, andwherein the first set {circumflex over (Z)}_(mix) ^(dec) of K′decorrelator output signals is upmixed into the second set W of N′decorrelator output signals using a postmixing matrix M_(post) accordingto

W=M _(post) {circumflex over (Z)} _(mix) ^(dec);

wherein the postmixing matrix M_(post) is obtained according to

M _(post) =M _(pre) ^(H)(M _(pre) M _(pre) ^(H))⁻¹.

According to another embodiment, a method for providing a plurality ofdecorrelated signals on the basis of a plurality of decorrelator inputsignals may have the steps of:

premixing a first set of N decorrelator input signals into a second setof K decorrelator input signals, wherein K<N;providing a first set of K′ decorrelator output signals on the basis ofthe second set of K decorrelator input signals; andupmixing the first set of K′ decorrelator output signals into a secondset of N′ decorrelator output signals, wherein N′>K′;wherein the method has receiving an information about a renderingconfiguration associated with the channel signals of the first set of Ndecorrelator input signals, and wherein a premixing matrix is selectedin dependence on the information about the rendering configuration.

According to another embodiment, a method for providing a plurality ofdecorrelated signals on the basis of a plurality of decorrelator inputsignals may have the steps of:

premixing a first set of N decorrelator input signals into a second setof K decorrelator input signals, wherein K<N;providing a first set of K′ decorrelator output signals on the basis ofthe second set of K decorrelator input signals; andupmixing the first set of K′ decorrelator output signals into a secondset of N′ decorrelator output signals, wherein N′>K′;wherein channel signals of the first set of N decorrelator input signalswhich are associated with spatially adjacent positions of an audio sceneare combined when performing the premixing.

According to still another embodiment, a method for providing aplurality of decorrelated signals on the basis of a plurality ofdecorrelator input signals may have the steps of:

premixing a first set of N decorrelator input signals into a second setof K decorrelator input signals, wherein K<N;providing a first set of K′ decorrelator output signals on the basis ofthe second set of K decorrelator input signals; andupmixing the first set of K′ decorrelator output signals into a secondset of N′ decorrelator output signals, wherein N′>K′;wherein channel signals of the first set of N decorrelator input signalswhich are associated with a horizontal pair of spatial positions havinga left side position and a right side position are combined.

According to another embodiment, a method for providing a plurality ofdecorrelated signals on the basis of a plurality of decorrelator inputsignals may have the steps of:

premixing a first set of N decorrelator input signals into a second setof K decorrelator input signals, wherein K<N;providing a first set of K′ decorrelator output signals on the basis ofthe second set of K decorrelator input signals; andupmixing the first set of K′ decorrelator output signals into a secondset of N′ decorrelator output signals, wherein N′>K′;wherein at least four channel signals of the first set of N decorrelatorinput signals are combined, wherein at least two of said at least fourchannel signals are associated with spatial positions on a left side ofan audio scene, and wherein at least two of said at least four channelsignals are associated with spatial positions on a right side of theaudio scene.

According to another embodiment, a method for providing a plurality ofdecorrelated signals on the basis of a plurality of decorrelator inputsignals may have the steps of:

premixing a first set of N decorrelator input signals into a second setof K decorrelator input signals, wherein K<N;providing a first set of K′ decorrelator output signals on the basis ofthe second set of K decorrelator input signals; andupmixing the first set of K′ decorrelator output signals into a secondset of N′ decorrelator output signals, wherein N′>K′;wherein the method has receiving a complexity information describing anumber K of decorrelator input signals of the second set of decorrelatorinput signals, and wherein a premixing matrix is selected in dependenceon the complexity information.

Another embodiment may have a method for providing at least two outputaudio signals on the basis of an encoded representation,

wherein the method has providing a plurality of decorrelated signals onthe basis of a plurality of decorrelator input signals,wherein providing a plurality of decorrelated signals on the basis of aplurality of decorrelator input signals has:premixing a first set of N decorrelator input signals into a second setof K decorrelator input signals, wherein K<N;providing a first set of K′ decorrelator output signals on the basis ofthe second set of K decorrelator input signals; andupmixing the first set of K′ decorrelator output signals into a secondset of N′ decorrelator output signals, wherein N′>K′;wherein a premixing matrix for usage by the multi-channel decorrelatoris selected in dependence on an output configuration describing anallocation of the output audio signals with spatial positions of anaudio scene.

Another embodiment may have a method for providing at least two outputaudio signals on the basis of an encoded representation,

wherein the method has providing a plurality of decorrelated signals onthe basis of a plurality of decorrelator input signals,wherein providing a plurality of decorrelated signals on the basis of aplurality of decorrelator input signals has:premixing a first set of N decorrelator input signals into a second setof K decorrelator input signals, wherein K<N;providing a first set of K′ decorrelator output signals on the basis ofthe second set of K decorrelator input signals; andupmixing the first set of K′ decorrelator output signals into a secondset of N′ decorrelator output signals, wherein N′>K′;wherein the method has selecting between three or more differentpremixing matrices for usage by the multi-channel decorrelator independence on a control information included in the encodedrepresentation for a given output configuration, wherein each of thethree or more different premixing matrices is associated with adifferent number of signals of the second set of K decorrelator inputsignals

Another embodiment may have a method for providing at least two outputaudio signals on the basis of an encoded representation,

wherein the method has providing a plurality of decorrelated signals onthe basis of a plurality of decorrelator input signals,wherein providing a plurality of decorrelated signals on the basis of aplurality of decorrelator input signals has:premixing a first set of N decorrelator input signals into a second setof K decorrelator input signals, wherein K<N;providing a first set of K′ decorrelator output signals on the basis ofthe second set of K decorrelator input signals; andupmixing the first set of K′ decorrelator output signals into a secondset of N′ decorrelator output signals, wherein N′>K′;wherein a premixing matrix for usage by the multi-channel decorrelatoris selected in dependence on a mixing matrix which is used by an formatconverter or renderer which receives the at least two output audiosignals.

Another embodiment may have a computer program for performing the abovemethods when the computer program runs on a computer.

An embodiment according to the invention creates a multi-channeldecorrelator for providing a plurality of decorrelated signals on thebasis of a plurality of decorrelator input signals. The multi-channeldecorrelator is configured to premix a first set of N decorrelator inputsignals into a second set of K decorrelator input signals, wherein K<N.The multi-channel decorrelator is configured to provide a first set ofK′ decorrelator output signals on the basis of the second set of Kdecorrelator input signals. The multi-channel decorrelator is furtherconfigured to upmix the first set of K′ decorrelator output signals intoa second set of N′ decorrelator output signals, wherein N′>K′.

This embodiment according to the invention is based on the idea that acomplexity of the decorrelation can be reduced by premixing the firstset of N decorrelator input signals into a second set of K decorrelatorinput signals, wherein the second set of K decorrelator input signalscomprises less signals than the first set of N decorrelator inputsignals. Accordingly, the fundamental decorrelator functionality isperformed on only K signals (the K decorrelator input signals of thesecond set) such that, for example, only K (individual) decorrelators(or individual decorrelations) are necessitated (and not Ndecorrelators). Moreover, to provide N′ decorrelator output signals, anupmix is performed, wherein the first set of K′ decorrelator outputsignals is upmixed into the second set of N′ decorrelator outputsignals. Accordingly, it is possible to obtain a comparatively largenumber of decorrelated signals (namely, N′ signals of the second set ofdecorrelator output signals) on the basis of a comparatively largenumber of decorrelator input signals (namely, N signals of the first setof decorrelator input signals), wherein a core decorrelationfunctionality is performed on the basis of only K signals (for exampleusing only K individual decorrelators). Thus, a significant gain indecorrelation efficiency is achieved, which helps to save processingpower and resources (for example, energy).

In one embodiment, the number K of signals of the second set ofdecorrelator input signals is equal to the number K′ of signals of thefirst set of decorrelator output signals. Accordingly, there may forexample be K individual decorrelators, each of which receives onedecorrelator input signal (of the second set of decorrelator inputsignals) from the premixing, and each of which provides one decorrelatoroutput signals (of the first set of decorrelator output signals) to theupmixing. Thus, simple individual decorrelators can be used, each ofwhich provides one output signal on the basis of one input signal.

In another embodiment, number N of signals of the first set ofdecorrelator input signals may be equal to the number N′ of signals ofthe second set of decorrelator output signals. Thus, the number ofsignals received by the multi-channel decorrelator is equal to thenumber of signals provided by the multi-channel decorrelator, such thatthe multi-channel decorrelator appears, from outside, like a bank of Nindependent decorrelators (wherein, however, the decorrelation resultmay comprise some imperfections due to the usage of only K input signalsfor the core decorrelator). Accordingly, the multi-channel decorrelatormay be used as drop-in replacement for conventional decorrelators havingan equal number of input signals and output signals. Moreover, it shouldbe noted that the upmixing may, for example, be derived from thepremixing in such a configuration with moderate effort.

In one embodiment, the number N of signals of the first set ofdecorrelator input signals may be larger than or equal to 3, and thenumber N′ of signals of the second set of decorrelator output signalsmay also be larger than or equal to 3. In such a case, the multi-channeldecorrelator may provide particular efficiency.

In one embodiment, the multi-channel decorrelator may be configured topremix the first set of N decorrelator input signals into a second setof K decorrelator input signals using a premixing matrix (i.e., using alinear premixing functionality). In this case, the multi-channeldecorrelator may be configured to obtain the first set of K′decorrelator output signals on the basis of the second set of Kdecorrelator input signals (for example, using individualdecorrelators). The multi-channel decorrelator may also be configured toupmix the first set of K′ decorrelator output signals into the secondset of N′ decorrelator output signals using a postmixing matrix, i.e.,using a linear postmixing function. Accordingly, distortions may be keptsmall. Also, the premixing and post mixing (also designated as upmixing)may be performed in a computationally efficient manner.

In one embodiment, the multi-channel decorrelator may be configured toselect the premixing matrix in dependence on spatial positions to whichthe channel signals of the first set of N decorrelator input signals areassociated. Accordingly, spatial dependencies (or correlations) may beconsidered in the premixing process, which is helpful to avoid anexcessive degradation due to the premixing process performed in themulti-channel decorrelator.

In one embodiment, the multi-channel decorrelator may be configured toselect the premixing matrix in dependence on correlation characteristicsor covariance characteristics of the channel signals of the first set ofN decorrelator input signals. Such a functionality may also help toavoid excessive distortions due to the premixing performed by themulti-channel decorrelator. For example, decorrelator input signals (ofthe first set of decorrelator input signals), which are closely related(i.e., comprise a high cross-correlation or a high cross-covariance)may, for example, be combined into a single decorrelator input signal ofthe second set of decorrelator input signals, and may consequently beprocessed, for example, by a common individual decorrelator (of thedecorrelator core). Thus, it can be avoided that substantially differentdecorrelator input signals (of the first set of decorrelator inputsignals) are premixed (or downmixed) into a single decorrelator inputsignal (of the second set of decorrelator input signals), which is inputinto the decorrelator core, since this will typically result ininappropriate decorrelator output signals (which would, for example,disturb a spatial perception when used to bring audio signals to desiredcross-correlation characteristics or cross-covariance characteristics).Accordingly, the multi-channel decorrelator may decide, in anintelligent manner, which signals should be combined in the premixing(or downmixing) process to allow for a good compromise betweendecorrelation efficiency and audio quality.

In one embodiment, the multi-channel decorrelator is configured todetermine the premixing matrix such that a matrix-product between thepremixing matrix and a Hermitian thereof is well-conditioned withrespect to an inversion operation. Accordingly, the premixing matrix canbe chosen such that a postmixing matrix can be determined withoutnumerical problems.

In one embodiment, the multi-channel decorrelator is configured toobtain the postmixing matrix on the basis of the premixing matrix usingsome matrix multiplication and matrix inversion operations. In this way,the postmixing matrix can be obtained efficiently, such that thepostmixing matrix is well-adapted to the premixing process.

In one embodiment, the multi-channel decorrelator is configured toreceive an information about a rendering configuration associated withthe channel signals of the first set of N decorrelator input signals. Inthis case, the multi-channel decorrelator is configured to select apremixing matrix in dependence on the information about the renderingconfiguration. Accordingly, the premixing matrix may be selected in amanner which is well-adapted to the rendering configuration, such that agood audio quality can be obtained.

In one embodiment, the multi-channel decorrelator is configured tocombine channel signals of the first set of N decorrelator input signalswhich are associated with spatially adjacent positions of an audio scenewhen performing the premixing. Thus, the fact that channel signalsassociated with spatially adjacent positions of an audio scene aretypically similar is exploited when setting up the premixing.Consequently, similar audio signals may be combined in the premixing andprocessed using the same individual decorrelator in the decorrelatorcore. Accordingly, inacceptable degradations of the audio content can beavoided.

In one embodiment, the multi-channel decorrelator is configured tocombine channel signals of the first set of N decorrelator input signalswhich are associated with vertically spatially adjacent positions of anaudio scene when performing the premixing. This concept is based on thefinding that audio signals from vertically spatially adjacent positionsof the audio scene are typically similar. Moreover, the human perceptionis not particularly sensitive with respect to differences betweensignals associated with vertically spatially adjacent positions of theaudio scene. Accordingly, it has been found that combining audio signalsassociated with vertically spatially adjacent positions of the audioscene does not result in a substantial degradation of a hearingimpression obtained on the basis of the decorrelated audio signals.

In one embodiment, the multi-channel decorrelator may be configured tocombine channel signals of the first set of N decorrelator input signalswhich are associated with a horizontal pair of spatial positionscomprising a left side position and a right side position. It has beenfound that channel signals which are associated with a horizontal pairof spatial positions comprising a left side position and a right sideposition are typically also somewhat related since channel signalsassociated with a horizontal pair of spatial positions are typicallyused to obtain a spatial impression. Accordingly, it has been found thatit is a reasonable solution to combine channel signals associated with ahorizontal pair of spatial positions, for example if it is notsufficient to combine channel signals associated with verticallyspatially adjacent positions of the audio scene, because combiningchannel signals associated with a horizontal pair of spatial positionstypically does not result in an excessive degradation of a hearingimpression.

In one embodiment, the multi-channel decorrelator is configured tocombine at least four channel signals of the first set of N decorrelatorinput signals, wherein at least two of said at least four channelsignals are associated with spatial positions on a left side of an audioscene, and wherein at least two of said at least four channel signalsare associated with spatial positions on a right side of an audio scene.Accordingly, four or more channels signals are combined, such that anefficient decorrelation can be obtained without significantly comprisinga hearing impression.

In one embodiment, the at least two left-sided channel signals (i.e.,channel signals associated with spatial positions on the left side ofthe audio scene) to be combined are associated with spatial positionswhich are symmetrical, with respect to a center plane of the audioscene, to the spatial positions associated with the at least tworight-sided channel signals to be combined (i.e., channel signalsassociated with spatial positions on the right side of the audio scene).It has been found that a combination of channel signals associated with“symmetrical” spatial positions typically brings along good results,since signals associated with such “symmetrical” spatial positions aretypically somewhat related, which is advantageous for performing thecommon (combined) decorrelation.

In one embodiment, the multi-channel decorrelator is configured toreceive a complexity information describing a number K of decorrelatorinput signals of the second set of decorrelator input signals. In thiscase, the multi-channel decorrelator may be configured to select apremixing matrix in dependence on the complexity information.Accordingly, the multi-channel decorrelator can be adapted flexibly todifferent complexity requirements. Thus, it is possible to vary acompromise between audio quality and complexity.

In one embodiment, the multi-channel decorrelator is configured togradually (for example, step-wisely) increase a number of decorrelatorinput signals of the first set of decorrelator input signals which arecombined together to obtain the decorrelator input signals of the secondset of decorrelator input signals with a decreasing value of thecomplexity information. Accordingly, it is possible to combine more andmore decorrelator input signals of the first set of decorrelator inputsignals (for example, into a single decorrelator input signal of thesecond set of decorrelator input signals) if it is desired to decreasethe complexity, which allows to vary the complexity with little effort.

In one embodiment, the multi-channel decorrelator is configured tocombine only channel signals of the first set of N decorrelator inputsignals which are associated with vertically spatially adjacentpositions of an audio scene when performing the premixing for a firstvalue of the complexity information. However, the multi-channeldecorrelator may (also) be configured to combine at least two channelsignals of the first set of N decorrelator input signals which areassociated with vertically spatially adjacent positions on the left sideof the audio scene and at least two channel signals of the first set ofN decorrelator input signals which are associated with verticallyspatially adjacent positions on the right side of the audio scene inorder to obtain a given signal of the second set of decorrelator inputsignals when performing the premixing for a second value of thecomplexity information. In other words, for the first value of thecomplexity information, no combination of channel signals from differentsides of the audio scene may be performed, which results in aparticularly good quality of the audio signals (and of a hearingimpression, which can be obtained on the basis of the decorrelated audiosignals). In contrast, if a smaller complexity is necessitated, ahorizontal combination may also be performed in addition to the verticalcombination. It has been found that this a reasonable concept for astep-wise adjustment of the complexity, wherein a somewhat higherdegradation of a hearing impression is found for reduced complexity.

In one embodiment, the multi-channel decorrelator is configured tocombine at least four channel signals of the first set of N decorrelatorinput signals, wherein at least two of said at least four channelsignals are associated with spatial positions on a left side of an audioscene, and wherein at least two of said at least four channel signalsare associated with spatial positions on a right side of the audio scenewhen performing the premixing for a second value of the complexityinformation. This concept is based on the finding that a comparativelylow computational complexity can be obtained by combining at least twochannel signals associated with spatial positions on a left side of theaudio scene and at least two channel signals associated with spatialpositions on a right side of the audio scene, even if said channelsignals are not vertically adjacent (or at least not perfectlyvertically adjacent).

In one embodiment, the multi-channel decorrelator is configured tocombine at least two channel signals of the first set of N decorrelatorinput signals which are associated with vertically spatially adjacentpositions on a left side of the audio scene, in order to obtain a firstdecorrelator input signal of the second set of decorrelator inputsignals, and to combine at least two channel signals of the first set ofN decorrelator input signals which are associated with verticallyspatially adjacent positions on a right side of the audio scene, inorder to obtain a second decorrelator input signal of the second set ofdecorrelator input signals for a first value of the complexityinformation. Moreover, the multi-channel decorrelator may be configuredto combine the at least two channel signals of the first set of Ndecorrelator input signals which are associated with verticallyspatially adjacent positions on the left side of the audio scene and theat least two channel signals of the first set of N decorrelator inputsignals which are associated with vertically spatially adjacentpositions on the right side of the audio scene, in order to obtain adecorrelator input signal of the second set of decorrelator inputsignals for a second value of the complexity information. In this case,a number of decorrelator input signals of the second set of decorrelatorinput signals is larger for the first value of the complexityinformation than for the second value of the complexity information. Inother words, four channel signals, which are used to obtain twodecorrelator input signals of the second set of decorrelator inputsignals for the first value of the complexity information may be used toobtain a single decorrelator input signal of the second set ofdecorrelator input signals for the second value of the complexityinformation. Thus, signals which serve as input signals for twoindividual decorrelators for the first value of the complexityinformation are combined to serve as input signals for a singleindividual decorrelator for the second value of the complexityinformation. Thus, an efficient reduction of the number of individualdecorrelators (or of the number of decorrelator input signals of thesecond set of decorrelator input signals) can be obtained for a reducedvalue of the complexity information.

An embodiment according to the invention creates a multi-channel audiodecoder for providing at least two output audio signals on the basis ofan encoded representation. The multi-channel audio decoder comprises amulti-channel decorrelator, as discussed herein.

This embodiment is based on the finding that the multi-channel audiodecorrelator is well-suited for application in a multi-channel audiodecoder.

In one embodiment, the multi-channel audio decoder is configured torender a plurality of decoded audio signals, which are obtained on thebasis of the encoded representation, in dependence on one or morerendering parameters, to obtain a plurality of rendered audio signals.The multi-channel audio decoder is configured to derive one or moredecorrelated audio signals from the rendered audio signals using themulti-channel decorrelator, wherein the rendered audio signalsconstitute the first set of decorrelator input signals, and wherein thesecond set of decorrelator output signals constitute the decorrelatedaudio signals. The multi-channel audio decoder is configured to combinethe rendered audio signals, or a scaled version thereof, with the one ormore decorrelated audio signals (of the second set of decorrelatoroutput signals), to obtain the output audio signals. This embodimentaccording to the invention is based on the finding that themulti-channel decorrelator described herein is well-suited for apost-rendering processing, wherein a comparatively large number ofrendered audio signals is input into the multi-channel decorrelator, andwherein a comparatively large number of decorrelated signals is thencombined with the rendered audio signals. Moreover, it has been foundthat the imperfections caused by the usage of a comparatively smallnumber of individual decorrelators (complexity reduction in themulti-channel decorrelator) typically does not result in a severedegradation of a quality of the output audio signals output by themulti-channel decoder.

In one embodiment, the multi-channel audio decoder is configured toselect a premixing matrix for usage by the multi-channel decorrelator independence on a control information included in the encodedrepresentation. Accordingly, it is even possible for an audio encoder tocontrol the quality of the decorrelation, such that the quality of thedecorrelation can be well-adapted to the specific audio content, whichbrings along a good tradeoff between audio quality and decorrelationcomplexity.

In one embodiment, the multi-channel audio decoder is configured toselect a premixing matrix for usage by the multi-channel decorrelator independence on an output configuration describing an allocation of outputaudio signals with spatial positions of the audio scene. Accordingly,the multi-channel decorrelator can be adapted to the specific renderingscenario, which helps to avoid substantial degradation of the audioquality by the efficient decorrelation.

In one embodiment, the multi-channel audio decoder is configured toselect between three or more different premixing matrices for usage bythe multi-channel decorrelator in dependence on a control informationincluded in the encoded representation for a given outputrepresentation. In this case, each of the three or more differentpremixing matrices is associated with a different number of signals ofthe second set of K decorrelator input signals. Thus, the complexity ofthe decorrelation can be adjusted over a wide range.

In one embodiment, the multi-channel audio decoder is configured toselect a premixing matrix (M_(pre)) for usage by the multi-channeldecorrelator in dependence on a mixing matrix (Dconv, Drender) which isused by an format converter or renderer which receives the at least twooutput audio signals.

In another embodiment, the multi-channel audio decoder is configured toselect the premixing matrix (M_(pre)) for usage by the multi-channeldecorrelator to be equal to a mixing matrix (Dconv, Drender) which isused by a format converter or renderer which receives the at least twooutput audio signals.

An embodiment according to the invention creates a multi-channel audioencoder for providing an encoded representation on the basis of at leasttwo input audio signals. The multi-channel audio encoder is configuredto provide one or more downmix signals on the basis of the at least twoinput audio signals. The multi-channel audio encoder is also configuredto provide one or more parameters describing a relationship between theat least two input audio signals. Moreover, the multi-channel audioencoder is configured to provide a decorrelation complexity parameterdescribing a complexity of a decorrelation to be used at the side of anaudio decoder. Accordingly, the multi-channel audio encoder is able tocontrol the multi-channel audio decoder described above, such that thecomplexity of the decorrelation can be adjusted to the requirements ofthe audio content which is encoded by the multi-channel audio encoder.

Another embodiment according to the invention creates a method forproviding a plurality of decorrelated signals on the basis of aplurality of decorrelator input signals. The method comprises premixinga first set of N decorrelator input signals into a second set of Kdecorrelator input signals, wherein K<N. The method also comprisesproviding a first set of K′ decorrelator output signals on the basis ofthe second set of K decorrelator input signals. Moreover, the methodcomprises upmixing the first set of K′ decorrelator output signals intoa second set of N′ decorrelator output signals, wherein N′>K′. Thismethod is based on the same ideas as the above described multi-channeldecorrelator.

Another embodiment according to the invention creates a method forproviding at least two output audio signals on the basis of an encodedrepresentation. The method comprises providing a plurality ofdecorrelated signals on the basis of a plurality of decorrelator inputsignals, as described above. This method is based on the same findingsas the multi-channel audio decoder mentioned above.

Another embodiment creates a method for providing an encodedrepresentation on the basis of at least two input audio signals. Themethod comprises providing one or more downmix signals on the basis ofthe at least two input audio signals. The method also comprisesproviding one or more parameters describing a relationship between theat least two input audio signals. Further, the method comprisesproviding a decorrelation complexity parameter describing a complexityof a decorrelation to be used at the side of an audio decoder. Thismethod is based on the same ideas as the above described audio encoder.

Furthermore, embodiments according to the invention create a computerprogram for performing said methods.

Another embodiment according to the invention creates an encoded audiorepresentation. The encoded audio representation comprises an encodedrepresentation of a downmix signal and an encoded representation of oneor more parameters describing a relationship between the at least twoinput audio signals. Furthermore, the encoded audio representationcomprises an encoded decorrelation method parameter describing whichdecorrelation mode out of a plurality of decorrelation modes should beused at the side of an audio decoder. Accordingly, the encoded audiorepresentation allows to control the multi-channel decorrelatordescribed above, as well as the multi-channel audio decoder describedabove.

Moreover, it should be noted that the methods described above can besupplemented by any of the features and functionality described withrespect to the apparatuses as mentioned above.

BRIEF DESCRIPTION OF THE DRAWINGS

Embodiments according to the present invention will subsequently bedescribed taking reference to the enclosed figures in which:

FIG. 1 shows a block schematic diagram of a multi-channel audio decoder,according to an embodiment of the present invention;

FIG. 2 shows a block schematic diagram of a multi-channel audio encoder,according to an embodiment of the present invention;

FIG. 3 shows a flowchart of a method for providing at least two outputaudio signals on the basis of an encoded representation, according to anembodiment of the invention;

FIG. 4 shows a flowchart of a method for providing an encodedrepresentation on the basis of at least two input audio signals,according to an embodiment of the present invention;

FIG. 5 shows a schematic representation of an encoded audiorepresentation, according to an embodiment of the present invention;

FIG. 6 shows a block schematic diagram of a multi-channel decorrelator,according to an embodiment of the present invention;

FIG. 7 shows a block schematic diagram of a multi-channel audio decoder,according to an embodiment of the present invention;

FIG. 8 shows a block schematic diagram of a multi-channel audio encoder,according to an embodiment of the present invention,

FIG. 9 shows a flowchart of a method for providing plurality ofdecorrelated signals on the basis of a plurality of decorrelator inputsignals, according to an embodiment of the present invention;

FIG. 10 shows a flowchart of a method for providing at least two outputaudio signals on the basis of an encoded representation, according to anembodiment of the present invention;

FIG. 11 shows a flowchart of a method for providing an encodedrepresentation on the basis of at least two input audio signals,according to an embodiment of the present invention;

FIG. 12 shows a schematic representation of an encoded representation,according to an embodiment of the present invention;

FIG. 13 shows schematic representation which provides an overview of anMMSE based parametric downmix/upmix concept;

FIG. 14 shows a geometric representation for an orthogonality principlein 3-dimensional space;

FIG. 15 shows a block schematic diagram of a parametric reconstructionsystem with decorrelation applied on rendered output, according to anembodiment of the present invention;

FIG. 16 shows a block schematic diagram of a decorrelation unit;

FIG. 17 shows a block schematic diagram of a reduced complexitydecorrelation unit, according to an embodiment of the present invention;

FIG. 18 shows a table representation of loudspeaker positions, accordingto an embodiment of the present invention;

FIGS. 19A to 19G show table representations of premixing coefficientsfor N=22 and K between 5 and 11;

FIGS. 20A to 20D show table representations of premixing coefficientsfor N=10 and K between 2 and 5;

FIGS. 21A to 21C show table representations of premixing coefficientsfor N=8 and K between 2 and 4;

FIGS. 21D to 21F show table representations of premixing coefficientsfor N=7 and K between 2 and 4;

FIGS. 22A and 22B show table representations of premixing coefficientsfor N=5 and K=2 or K=3;

FIG. 23 shows a table representation of premixing coefficients for N=2and K=1;

FIG. 24 shows a table representation of groups of channel signals;

FIG. 25 shows a syntax representation of additional parameters, whichmay be included into the syntax of SAOCSpecifigConfig( ) or,equivalently, SAOC3DSpecificConfig( );

FIG. 26 shows a table representation of different values for thebitstream variable bsDecorrelationMethod;

FIG. 27 shows a table representation of a number of decorrelators fordifferent decorrelation levels and output configurations, indicated bythe bitstream variable bsDecorrelationLevel;

FIG. 28 shows, in the form of a block schematic diagram, an overviewover a 3D audio encoder;

FIG. 29 shows, in the form of a block schematic diagram, an overviewover a 3D audio decoder; and

FIG. 30 shows a block schematic diagram of a structure of a formatconverter.

FIG. 31 shows a block schematic diagram of a downmix processor,according to an embodiment of the present invention;

FIG. 32 shows a table representing decoding modes for different numberof SAOC downmix objects; and

FIGS. 33A and 33B show a syntax representation of a bitstream element“SAOC3DSpecificConfig”.

DETAILED DESCRIPTION OF THE INVENTION 1. Multi-Channel Audio DecoderAccording to FIG. 1

FIG. 1 shows a block schematic diagram of a multi-channel audio decoder100, according to an embodiment of the present invention.

The multi-channel audio decoder 100 is configured to receive an encodedrepresentation 110 and to provide, on the basis thereof, at least twooutput audio signals 112, 114.

The multi-channel audio decoder 100 may comprise a decoder 120 which isconfigured to provide decoded audio signals 122 on the basis of theencoded representation 110. Moreover, the multi-channel audio decoder100 comprises a renderer 130, which is configured to render a pluralityof decoded audio signals 122, which are obtained on the basis of theencoded representation 110 (for example, by the decoder 120) independence on one or more rendering parameters 132, to obtain aplurality of rendered audio signals 134, 136. Moreover, themulti-channel audio decoder 100 comprises a decorrelator 140, which isconfigured to derive one or more decorrelated audio signals 142, 144from the rendered audio signals 134, 136. Moreover, the multi-channelaudio decoder 100 comprises a combiner 150, which is configured tocombine the rendered audio signals 134, 136, or a scaled versionthereof, with the one or more decorrelated audio signals 142, 144 toobtain the output audio signals 112, 114.

However, it should be noted that a different hardware structure of themulti-channel audio decoder 100 may be possible, as long as thefunctionalities described above are given.

Regarding the functionality of the multi-channel audio decoder 100, itshould be noted that the decorrelated audio signals 142, 144 are derivedfrom the rendered audio signals 134, 136, and that the decorrelatedaudio signals 142, 144 are combined with the rendered audio signals 134,136 to obtain the output audio signals 112, 114. By deriving thedecorrelated audio signals 142, 144 from the rendered audio signals 134,136, a particularly efficient processing can be achieved, since thenumber of rendered audio signals 134, 136 is typically independent fromthe number of decoded audio signals 122 which are input into therenderer 130. Thus, the decorrelation effort is typically independentfrom the number of decoded audio signals 122, which improves theimplementation efficiency. Moreover, applying the decorrelation afterthe rendering avoids the introduction of artifacts, which could becaused by the renderer when combining multiple decorrelated signals inthe case that the decorrelation is applied before the rendering.Moreover, characteristics of the rendered audio signals can beconsidered in the decorrelation performed by the decorrelator 140, whichtypically results in output audio signals of good quality.

Moreover, it should be noted that the multi-channel audio decoder 100can be supplemented by any of the features and functionalities describedherein. In particular, it should be noted that individual improvementsas described herein may be introduced into the multi-channel audiodecoder 100 in order to thereby even improve the efficiency of theprocessing and/or the quality of the output audio signals.

2. Multi-Channel Audio Encoder According to FIG. 2

FIG. 2 shows a block schematic diagram of a multi-channel audio encoder200, according to an embodiment of the present invention. Themulti-channel audio encoder 200 is configured to receive two or moreinput audio signals 210, 212, and to provide, on the basis thereof, anencoded representation 214. The multi-channel audio encoder comprises adownmix signal provider 220, which is configured to provide one or moredownmix signals 222 on the basis of the at least two input audio signals210, 212. Moreover, the multi-channel audio encoder 200 comprises aparameter provider 230, which is configured to provide one or moreparameters 232 describing a relationship (for example, across-correlation, a cross-covariance, a level difference or the like)between the at least two input audio signals 210, 212.

Moreover, the multi-channel audio encoder 200 also comprises adecorrelation method parameter provider 240, which is configured toprovide a decorrelation method parameter 242 describing whichdecorrelation mode out of a plurality of decorrelation modes should beused at the side of an audio decoder. The one or more downmix signals222, the one or more parameters 232 and the decorrelation methodparameter 242 are included, for example, in an encoded form, into theencoded representation 214.

However, it should be noted that the hardware structure of themulti-channel audio encoder 200 may be different, as long as thefunctionalities as described above are fulfilled. In other words, thedistribution of the functionalities of the multi-channel audio encoder200 to individual blocks (for example, to the downmix signal provider220, to the parameter provider 230 and to the decorrelation methodparameter provider 240) should only be considered as an example.

Regarding the functionality of the multi-channel audio encoder 200, itshould be noted that the one or more downmix signals 222 and the one ormore parameters 232 are provided in a conventional way, for example likein an SAOC multi-channel audio encoder or in a USAC multi-channel audioencoder. However, the decorrelation method parameter 242, which is alsoprovided by the multi-channel audio encoder 200 and included into theencoded representation 214, can be used to adapt a decorrelation mode tothe input audio signals 210, 212 or to a desired playback quality.Accordingly, the decorrelation mode can be adapted to different types ofaudio content. For example, different decorrelation modes can be chosenfor types of audio contents in which the input audio signals 210, 212are strongly correlated and for types of audio content in which theinput audio signals 210, 212 are independent. Moreover, differentdecorrelation modes can, for example, be signaled by the decorrelationmode parameter 242 for types of audio contents in which a spatialperception is particularly important and for types of audio content inwhich a spatial impression is less important or even of subordinateimportance (for example, when compared to a reproduction of individualchannels). Accordingly, a multi-channel audio decoder, which receivesthe encoded representation 214, can be controlled by the multi-channelaudio encoder 200, and may be set to a decoding mode which brings alonga best possible compromise between decoding complexity and reproductionquality.

Moreover, it should be noted that the multi-channel audio encoder 200may be supplemented by any of the features and functionalities describedherein. It should be noted that the possible additional features andimprovements described herein may be added to the multi-channel audioencoder 200 individually or in combination, to thereby improve (orenhance) the multi-channel audio encoder 200.

3. Method for Providing at Least Two Output Audio Signals According toFIG. 3

FIG. 3 shows a flowchart of a method 300 for providing at least twooutput audio signals on the basis of an encoded representation. Themethod comprises rendering 310 a plurality of decoded audio signals,which are obtained on the basis of an encoded representation 312, independence on one or more rendering parameters, to obtain a plurality ofrendered audio signals. The method 300 also comprises deriving 320 oneor more decorrelated audio signals from the rendered audio signals. Themethod 300 also comprises combining 330 the rendered audio signals, or ascaled version thereof, with the one or more decorrelated audio signals,to obtain the output audio signals 332.

It should be noted that the method 300 is based on the sameconsiderations as the multi-channel audio decoder 100 according toFIG. 1. Moreover, it should be noted that the method 300 may besupplemented by any of the features and functionalities described herein(either individually or in combination). For example, the method 300 maybe supplemented by any of the features and functionalities describedwith respect to the multi-channel audio decoders described herein.

4. Method for Providing an Encoded Representation According to FIG. 4

FIG. 4 shows a flowchart of a method 400 for providing an encodedrepresentation on the basis of at least two input audio signals. Themethod 400 comprises providing 410 one or more downmix signals on thebasis of at least two input audio signals 412. The method 400 furthercomprises providing 420 one or more parameters describing a relationshipbetween the at least two input audio signals 412 and providing 430 adecorrelation method parameter describing which decorrelation mode outof a plurality of decorrelation modes should be used at the side of anaudio decoder. Accordingly, an encoded representation 432 is provided,which may include an encoded representation of the one or more downmixsignals, one or more parameters describing a relationship between the atleast two input audio signals, and the decorrelation method parameter.

It should be noted that the method 400 is based on the sameconsiderations as the multi-channel audio encoder 200 according to FIG.2, such that the above explanations also apply.

Moreover, it should be noted that the order of the steps 410, 420, 430can be varied flexibly, and that the steps 410, 420, 430 may also beperformed in parallel as far as this is possible in an executionenvironment for the method 400. Moreover, it should be noted that themethod 400 can be supplemented by any of the features andfunctionalities described herein, either individually or in combination.For example, the method 400 may be supplemented by any of the featuresand functionalities described herein with respect to the multi-channelaudio encoders. However, it is also possible to introduce features andfunctionalities which correspond to the features and functionalities ofthe multi-channel audio decoders described herein, which receive theencoded representation 432.

5. Encoded Audio Representation According to FIG. 5

FIG. 5 shows a schematic representation of an encoded audiorepresentation 500 according to an embodiment of the present invention.

The encoded audio representation 500 comprises an encoded representation510 of a downmix signal, an encoded representation 520 of one or moreparameters describing a relationship between at least two audio signals.Moreover, the encoded audio representation 500 also comprises an encodeddecorrelation method parameter 530 describing which decorrelation modeout of a plurality of decorrelation modes should be used at the side ofan audio decoder. Accordingly, the encoded audio representation allowsto signal a decorrelation mode from an audio encoder to an audiodecoder. Accordingly, it is possible to obtain a decorrelation modewhich is well-adapted to the characteristics of the audio content (whichis described, for example, by the encoded representation 510 of one ormore downmix signals and by the encoded representation 520 of one ormore parameters describing a relationship between at least two audiosignals (for example, the at least two audio signals which have beendownmixed into the encoded representation 510 of one or more downmixsignals)). Thus, the encoded audio representation 500 allows for arendering of an audio content represented by the encoded audiorepresentation 500 with a particularly good auditory spatial impressionand/or a particularly good tradeoff between auditory spatial impressionand decoding complexity.

Moreover, it should be noted that the encoded representation 500 may besupplemented by any of the features and functionalities described withrespect to the multi-channel audio encoders and the multi-channel audiodecoders, either individually or in combination.

6. Multi-Channel Decorrelator According to FIG. 6

FIG. 6 shows a block schematic diagram of a multi-channel decorrelator600, according to an embodiment of the present invention.

The multi-channel decorrelator 600 is configured to receive a first setof N decorrelator input signals 610 a to 610 n and provide, on the basisthereof, a second set of N′ decorrelator output signals 612 a to 612 n′.In other words, the multi-channel decorrelator 600 is configured forproviding a plurality of (at least approximately) decorrelated signals612 a to 612 n′ on the basis of the decorrelator input signals 610 a to610 n.

The multi-channel decorrelator 600 comprises a premixer 620, which isconfigured to premix the first set of N decorrelator input signals 610 ato 610 n into a second set of K decorrelator input signals 622 a to 622k, wherein K is smaller than N (with K and N being integers). Themulti-channel decorrelator 600 also comprises a decorrelation (ordecorrelator core) 630, which is configured to provide a first set of K′decorrelator output signals 632 a to 632 k′ on the basis of the secondset of K decorrelator input signals 622 a to 622 k. Moreover, themulti-channel decorrelator comprises an postmixer 640, which isconfigured to upmix the first set of K′ decorrelator output signals 632a to 632 k′ into a second set of N′ decorrelator output signals 612 a to612 n′, wherein N′ is larger than K′ (with N′ and K′ being integers).

However, it should be noted that the given structure of themulti-channel decorrelator 600 should be considered as an example only,and that it is not necessary to subdivide the multi-channel decorrelator600 into functional blocks (for example, into the premixer 620, thedecorrelation or decorrelator core 630 and the postmixer 640) as long asthe functionality described herein is provided.

Regarding the functionality of the multi-channel decorrelator 600, itshould also be noted that the concept of performing a premixing, toderive the second set of K decorrelator input signals from the first setof N decorrelator input signals, and of performing the decorrelation onthe basis of the (premixed or “downmixed”) second set of K decorrelatorinput signals brings along a reduction of a complexity when compared toa concept in which the actual decorrelation is applied, for example,directly to N decorrelator input signals. Moreover, the second (upmixed)set of N′ decorrelator output signals is obtained on the basis of thefirst (original) set of decorrelator output signals, which are theresult of the actual decorrelation, on the basis of an postmixing, whichmay be performed by the upmixer 640. Thus, the multi-channeldecorrelator 600 effectively (when seen from the outside) receives Ndecorrelator input signals and provides, on the basis thereof, N′decorrelator output signals, while the actual decorrelator core 630 onlyoperates on a smaller number of signals (namely K downmixed decorrelatorinput signals 622 a to 622 k of the second set of K decorrelator inputsignals). Thus, the complexity of the multi-channel decorrelator 600 canbe substantially reduced, when compared to conventional decorrelators,by performing a downmixing or “premixing” (which may advantageously be alinear premixing without any decorrelation functionality) at an inputside of the decorrelation (or decorrelator core) 630 and by performingthe upmixing or “postmixing” (for example, a linear upmixing without anyadditional decorrelation functionality) on the basis of the (original)output signals 632 a to 632 k′ of the decorrelation (decorrelator core)630.

Moreover, it should be noted that the multi-channel decorrelator 600 canbe supplemented by any of the features and functionalities describedherein with respect to the multi-channel decorrelation and also withrespect to the multi-channel audio decoders. It should be noted that thefeatures described herein can be added to the multi-channel decorrelator600 either individually or in combination, to thereby improve or enhancethe multi-channel decorrelator 600.

It should be noted that a multi-channel decorrelator without complexityreduction can be derived from the above described multichanneldecorrelator for K=N (and possibly K′=N′ or even K=N=K′=N′).

7. Multi-channel Audio Decoder According to FIG. 7

FIG. 7 shows a block schematic diagram of a multi-channel audio decoder700, according to an embodiment of the invention.

The multi-channel audio decoder 700 is configured to receive an encodedrepresentation 710 and to provide, on the basis of thereof, at least twooutput signals 712, 714. The multi-channel audio decoder 700 comprises amulti-channel decorrelator 720, which may be substantially identical tothe multi-channel decorrelator 600 according to FIG. 6. Moreover, themulti-channel audio decoder 700 may comprise any of the features andfunctionalities of a multi-channel audio decoder which are known to theman skilled in the art or which are described herein with respect toother multi-channel audio decoders.

Moreover, it should be noted that the multi-channel audio decoder 700comprises a particularly high efficiency when compared to conventionalmulti-channel audio decoders, since the multi-channel audio decoder 700uses the high-efficiency multi-channel decorrelator 720.

8. Multi-Channel Audio Encoder According to FIG. 8

FIG. 8 shows a block schematic diagram of a multi-channel audio encoder800 according to an embodiment of the present invention. Themulti-channel audio encoder 800 is configured to receive at least twoinput audio signals 810, 812 and to provide, on the basis thereof, anencoded representation 814 of an audio content represented by the inputaudio signals 810, 812.

The multi-channel audio encoder 800 comprises a downmix signal provider820, which is configured to provide one or more downmix signals 822 onthe basis of the at least two input audio signals 810, 812. Themulti-channel audio encoder 800 also comprises a parameter provider 830which is configured to provide one or more parameters 832 (for example,cross-correlation parameters or cross-covariance parameters, orinter-object-correlation parameters and/or object level differenceparameters) on the basis of the input audio signals 810,812. Moreover,the multi-channel audio encoder 800 comprises a decorrelation complexityparameter provider 840 which is configured to provide a decorrelationcomplexity parameter 842 describing a complexity of a decorrelation tobe used at the side of an audio decoder (which receives the encodedrepresentation 814). The one or more downmix signals 822, the one ormore parameters 832 and the decorrelation complexity parameter 842 areincluded into the encoded representation 814, advantageously in anencoded form.

However, it should be noted that the internal structure of themulti-channel audio encoder 800 (for example, the presence of thedownmix signal provider 820, of the parameter provider 830 and of thedecorrelation complexity parameter provider 840) should be considered asan example only. Different structures are possible as long as thefunctionality described herein is achieved.

Regarding the functionality of the multi-channel audio encoder 800, itshould be noted that the multi-channel encoder provides an encodedrepresentation 814, wherein the one or more downmix signals 822 and theone or more parameters 832 may be similar to, or equal to, downmixsignals and parameters provided by conventional audio encoders (like,for example, conventional SAOC audio encoders or USAC audio encoders).However, the multi-channel audio encoder 800 is also configured toprovide the decorrelation complexity parameter 842, which allows todetermine a decorrelation complexity which is applied at the side of anaudio decoder. Accordingly, the decorrelation complexity can be adaptedto the audio content which is currently encoded. For example, it ispossible to signal a desired decorrelation complexity, which correspondsto an achievable audio quality, in dependence on an encoder-sidedknowledge about the characteristics of the input audio signals. Forexample, if it is found that spatial characteristics are important foran audio signal, a higher decorrelation complexity can be signaled,using the decorrelation complexity parameter 842, when compared to acase in which spatial characteristics are not so important.Alternatively, the usage of a high decorrelation complexity can besignaled using the decorrelation complexity parameter 842, if it isfound that a passage of the audio content or the entire audio content issuch that a high complexity decorrelation is necessitated at a side ofan audio decoder for other reasons.

To summarize, the multi-channel audio encoder 800 provides for thepossibility to control a multi-channel audio decoder, to use adecorrelation complexity which is adapted to signal characteristics ordesired playback characteristics which can be set by the multi-channelaudio encoder 800.

Moreover, it should be noted that the multi-channel audio encoder 800may be supplemented by any of the features and functionalities describedherein regarding a multi-channel audio encoder, either individually orin combination. For example, some or all of the features describedherein with respect to multi-channel audio encoders can be added to themulti-channel audio encoder 800. Moreover, the multi-channel audioencoder 800 may be adapted for cooperation with the multi-channel audiodecoders described herein.

9. Method for Providing a Plurality of Decorrelated Signals on the Basisof a Plurality of Decorrelator Input Signals, According to FIG. 9

FIG. 9 shows a flowchart of a method 900 for providing a plurality ofdecorrelated signals on the basis of a plurality of decorrelator inputsignals.

The method 900 comprises premixing 910 a first set of N decorrelatorinput signals into a second set of K decorrelator input signals, whereinK is smaller than N. The method 900 also comprises providing 920 a firstset of K′ decorrelator output signals on the basis of the second set ofK decorrelator input signals. For example, the first set of K′decorrelator output signals may be provided on the basis of the secondset of K decorrelator input signals using a decorrelation, which may beperformed, for example, using a decorrelator core or using adecorrelation algorithm. The method 900 further comprises postmixing 930the first set of K′ decorrelator output signals into a second set to N′decorrelator output signals, wherein N′ is larger than K′ (with N′ andK′ being integer numbers). Accordingly, the second set of N′decorrelator output signals, which are the output of the method 900, maybe provided on the basis of the first set of N decorrelator inputsignals, which are the input to the method 900.

It should be noted that the method 900 is based on the sameconsiderations as the multi-channel decorrelator described above.Moreover, it should be noted that the method 900 may be supplemented byany of the features and functionalities described herein with respect tothe multi-channel decorrelator (and also with respect to themulti-channel audio encoder, if applicable), either individually ortaken in combination.

10. Method for Providing at Least Two Output Audio Signals on the Basisof an Encoded Representation, According to FIG. 10

FIG. 10 shows a flowchart of a method 1000 for providing at least twooutput audio signals on the basis of an encoded representation.

The method 1000 comprises providing 1010 at least two output audiosignals 1014, 1016 on the basis of an encoded representation 1012. Themethod 1000 comprises providing 1020 a plurality of decorrelated signalson the basis of a plurality of decorrelator input signals in accordancewith the method 900 according to FIG. 9.

It should be noted that the method 1000 is based on the sameconsiderations as the multi-channel audio decoder 700 according to FIG.7.

Also, it should be noted that the method 1000 can be supplemented by anyof the features and functionalities described herein with respect to themulti-channel decoders, either individually or in combination.

11. Method for Providing an Encoded Representation on the Basis of atLeast Two Input Audio Signals, According to FIG. 11

FIG. 11 shows a flowchart of a method 1100 for providing an encodedrepresentation on the basis of at least two input audio signals.

The method 1100 comprises providing 1110 one or more downmix signals onthe basis of the at least two input audio signals 1112, 1114. The method1100 also comprises providing 1120 one or more parameters describing arelationship between the at least two input audio signals 1112, 1114.Furthermore, the method 1100 comprises providing 1130 a decorrelationcomplexity parameter describing a complexity of a decorrelation to beused at the side of an audio decoder. Accordingly, an encodedrepresentation 1132 is provided on the basis of the at least two inputaudio signals 1112, 1114, wherein the encoded representation typicallycomprises the one or more downmix signals, the one or more parametersdescribing a relationship between the at least two input audio signalsand the decorrelation complexity parameter in an encoded form.

It should be noted that the steps 1110, 1120, 1130 may be performed inparallel or in a different order in some embodiments according to theinvention. Moreover, it should be noted that the method 1100 is based onthe same considerations as the multi-channel audio encoder 800 accordingto FIG. 8, and that the method 1100 can be supplemented by any of thefeatures and functionalities described herein with respect to themulti-channel audio encoder, either in combination or individually.Moreover, it should be noted that the method 1100 can be adapted tomatch the multi-channel audio decoder and the method for providing atleast two output audio signals described herein.

12. Encoded Audio Representation According to FIG. 12

FIG. 12 shows a schematic representation of an encoded audiorepresentation, according to an embodiment of the present invention. Theencoded audio representation 1200 comprises an encoded representation1210 of a downmix signal, an encoded representation 1220 of one or moreparameters describing a relationship between the at least two inputaudio signals, and an encoded decorrelation complexity parameter 1230describing a complexity of a decorrelation to be used at the side of anaudio decoder. Accordingly, the encoded audio representation 1200 allowsto adjust the decorrelation complexity used by a multi-channel audiodecoder, which brings along an improved decoding efficiency, andpossible an improved audio quality, or an improved tradeoff betweencoding efficiency and audio quality. Moreover, it should be noted thatthe encoded audio representation 1200 may be provided by themulti-channel audio encoder as described herein, and may be used by themulti-channel audio decoder as described herein. Accordingly, theencoded audio representation 1200 can be supplemented by any of thefeatures described with respect to the multi-channel audio encoders andwith respect to the multi-channel audio decoders.

13. Notation and Underlying Considerations

Recently, parametric techniques for the bitrate efficienttransmission/storage of audio scenes containing multiple audio objectshave been proposed in the field of audio coding (see, for example,references [BCC], [JSC], [SAOC], [SAOC1], [SAOC2]) and informed sourceseparation (see, for example, references [ISS1], [ISS2], [ISS3], [ISS4],[ISS5], [ISS6]). These techniques aim at reconstructing a desired outputaudio scene or audio source object based on additional side informationdescribing the transmitted/stored audio scene and/or source objects inthe audio scene. This reconstruction takes place in the decoder using aparametric informed source separation scheme. Moreover, reference isalso made to the so-called “MPEG Surround” concept, which is described,for example, in the international standard ISO/IEC 23003-1:2007.Moreover, reference is also made to the so-called “Spatial Audio ObjectCoding” which is described in the international standard ISO/IEC23003-2:2010. Furthermore, reference is made to the so-called “UnifiedSpeech and Audio Coding” concept, which is described in theinternational standard ISO/IEC 23003-3:2012. Concepts from thesestandards can be used in embodiments according to the invention, forexample, in the multi-channel audio encoders mentioned herein and themulti-channel audio decoders mentioned herein, wherein some adaptationsmay be necessitated.

In the following, some background information will be described. Inparticular, an overview on parametric separation schemes will beprovided, using the example of MPEG spatial audio object coding (SAOC)technology (see, for example, the reference [SAOC]). The mathematicalproperties of this method are considered.

13.1. Notation and Definitions

The following mathematical notation is applied in the current document:

-   N_(Objects) number of audio object signals-   N_(DmxCh) number of downmix (processed) channels-   N_(UpmixCh) number of upmix (output) channels-   N_(Samples) number of processed data samples-   D downmix matrix, size N_(DmxCh)×N_(Objects)-   X input audio object signal, size N_(Objects)×N_(Samples)-   E_(X) object covariance matrix, size N_(objects)×N_(objects)    -   defined as E_(X)=XX^(H)-   Y downmix audio signal, size N_(DmxCh)×N_(Samples)    -   defined as Y=DX-   E_(Y) covariance matrix of the downmix signals, size    N_(DmxCh)×N_(DmxCh)    -   defined as E_(Y)=YY^(H)-   G parametric source estimation matrix, size N_(Objects)×N_(DmxCh)    -   which approximates E_(X)D^(H)(DE_(X)D^(H))⁻¹-   {circumflex over (X)} parametrically reconstructed object signal,    size N_(Objects)×N_(Samples)    -   which approximates X and defined as X=GY-   R rendering matrix (specified at the decoder side), size    N_(UpmixCh)×N_(Objects)-   Z ideal rendered output scene signal, size N_(UpmixCh)×N_(Samples)    -   defined as Z=RX-   {circumflex over (Z)} rendered parametric output, size    N_(UpmixCh)×N_(Samples)    -   defined as {circumflex over (Z)}=R{circumflex over (X)}-   C covariance matrix of the ideal output, size    N_(UpmixCh)×N_(UpmixCh)    -   defined as C=RE_(X)R^(H)-   W decorrelator outputs, size N_(UpmixCh)×N_(Samples)-   S combined signal

${S = \begin{bmatrix}\hat{Z} \\W\end{bmatrix}},$

size 2N_(UpmixCh)×N_(Samples)

-   E_(S) combined signal covariance matrix, size    2N_(UpmixCh)×2N_(UpmixCh)    -   defined as E_(S)=SS^(H)-   {circumflex over (Z)} final output, size N_(UpmixCh)×N_(Samples)-   (·)^(H) self-adjoint (Hermitian) operator    -   which represents the complex conjugate transpose of (·). The        notation (·)* can be also used.-   F_(decorr) (·) decorrelator function-   ε is an additive constant to avoid division by zero-   H=matdiag(M) is a matrix containing the elements from the main    diagonal of matrix M on the main diagonal and zero values on the    off-diagonal positions.

Without loss of generality, in order to improve readability ofequations, for all introduced variables the indices denoting time andfrequency dependency are omitted in this document.

13.2. Parametric Separation Systems

General parametric separation systems aim to estimate a number of audiosources from a signal mixture (downmix) using auxiliary parameterinformation (like, for example, inter-channel correlation values,inter-channel level difference values, inter-object correlation valuesand/or object level difference information). A typical solution of thistask is based on application of the minimum mean squared error (MMSE)estimation algorithms. The SAOC technology is one example of suchparametric audio encoding/decoding systems.

FIG. 13 shows the general principle of the SAOC encoder/decoderarchitecture. In other words, FIG. 13 shows, in the form of a blockschematic diagram, an overview of the MMSE based parametricdownmix/upmix concept.

An encoder 1310 receives a plurality of object signals 1312 a, 1312 b to1312 n. Moreover, the encoder 1310 also receives mixing parameters D,1314, which may, for example, be downmix parameters. The encoder 1310provides, on the basis thereof, one or more downmix signals 1316 a, 1316b, and so on. Moreover, the encoder provides a side information 1318 Theone or more downmix signals and the side information may, for example,be provided in an encoded form.

The encoder 1310 comprises a mixer 1320, which is typically configuredto receive the object signals 1312 a to 1312 n and to combine (forexample downmix) the object signals 1312 a to 1312 n into the one ormore downmix signals 1316 a, 1316 b in dependence on the mixingparameters 1314. Moreover, the encoder comprises a side informationestimator 1330, which is configured to derive the side information 1318from the object signals 1312 a to 1312 n. For example, the sideinformation estimator 1330 may be configured to derive the sideinformation 1318 such that the side information describes a relationshipbetween object signals, for example, a cross-correlation between objectsignals (which may be designated as “inter-object-correlation” IOC)and/or an information describing level differences between objectsignals (which may be designated as a “object level differenceinformation” OLD).

The one or more downmix signals 1316 a, 1316 b and the side information1318 may be stored and/or transmitted to a decoder 1350, which isindicated at reference numeral 1340.

The decoder 1350 receives the one or more downmix signals 1316 a, 1316 band the side information 1318 (for example, in an encoded form) andprovides, on the basis thereof, a plurality of output audio signals 1352a to 1352 n. The decoder 1350 may also receive a user interactioninformation 1354, which may comprise one or more rendering parameters R(which may define a rendering matrix). The decoder 1350 comprises aparametric object separator 1360, a side information processor 1370 anda renderer 1380. The side information processor 1370 receives the sideinformation 1318 and provides, on the basis thereof, a controlinformation 1372 for the parametric object separator 1360. Theparametric object separator 1360 provides a plurality of object signals1362 a to 1362 n on the basis of the downmix signals 1360 a, 1360 b andthe control information 1372, which is derived from the side information1318 by the side information processor 1370. For example, the objectseparator may perform a decoding of the encoded downmix signals and anobject separation. The renderer 1380 renders the reconstructed objectsignals 1362 a to 1362 n, to thereby obtain the output audio signals1352 a to 1352 n.

In the following, the functionality of the MMSE based parameterdownmix/upmix concept will be discussed.

The general parametric downmix/upmix processing is carried out in atime/frequency selective way and can be described as a sequence of thefollowing steps:

-   -   The “encoder” 1310 is provided with input “audio objects” X and        “mixing parameters” D. The “mixer” 1320 downmixes the “audio        objects” X into a number of “downmix signals” Y using “mixing        parameters” D (e.g., downmix gains). The “side info estimator”        extracts the side information 1318 describing characteristics of        the input “audio objects” X (e.g., covariance properties).    -   The “downmix signals” Y and side information are transmitted or        stored. These downmix audio signals can be further compressed        using audio coders (such as MPEG-1/2 Layer II or III, MPEG-2/4        Advanced Audio Coding (AAC), MPEG Unified Speech and Audio        Coding (USAC), etc.). The side information can be also        represented and encoded efficiently (e.g., as loss-less coded        relations of the object powers and object correlation        coefficients).    -   The “decoder” 1350 restores the original “audio objects” from        the decoded “downmix signals” using the transmitted side        information 1318. The “side info processor” 1370 estimates the        un-mixing coefficients 1372 to be applied on the “downmix        signals” within “parametric object separator” 1360 to obtain the        parametric object reconstruction of X. The reconstructed “audio        objects” 1362 a to 1362 n are rendered to a (multi-channel)        target scene, represented by the output channels {circumflex        over (Z)}, by applying “rendering parameters” R, 1354.

Moreover, it should be noted that the functionalities described withrespect to the encoder 1310 and the decoder 1350 may be used in theother audio encoders and audio decoders described herein as well.

13.3. Orthogonality Principle of Minimum Mean Squared Error Estimation

Orthogonality principle is one major property of MMSE estimators.Consider two Hilbert spaces W and V, with V spanned by a set of vectorsy_(i), and a vector xεW. If one wishes to find an estimate {circumflexover (x)}εV which will approximate x as a linear combination of thevectors y_(i)εV, while minimizing the mean square error, then the errorvector will be orthogonal on the space spanned by the vectors y_(i):

(x−{circumflex over (x)})y ^(H)=0,

As a consequence, the estimation error and the estimate itself areorthogonal:

(x−{circumflex over (x)}){circumflex over (x)} ^(H)=0.

Geometrically one could visualize this by the examples shown in FIG. 14.

FIG. 14 shows a geometric representation for orthogonality principle in3-dimensional space. As can be seen, a vector space is spanned byvectors y₁, y₂. A vector x is equal to a sum of a vector {circumflexover (x)} and a difference vector (or error vector) e. As can be seen,the error vector e is orthogonal to the vector space (or plane) Vspanned by vectors y₁ and y₂. Accordingly, vector {circumflex over (x)}can be considered as a best approximation of x within the vector spaceV.

13.4. Parametric Reconstruction Error

Defining a matrix comprising N signals: X and denoting the estimationerror with X_(Error), the following identities can be formulated. Theoriginal signal can be represented as a sum of the parametricreconstruction {circumflex over (X)} and the reconstruction errorX_(Error) as

X={circumflex over (X)}+X _(Error).

Because of the orthogonality principle, the covariance matrix of theoriginal signals E_(X)=XX^(H) can be formulated as a sum of thecovariance matrix of the reconstructed signals {circumflex over(X)}{circumflex over (X)}^(H) and the covariance matrix of theestimation errors X_(Error)X_(Error) ^(H) or as

E _(X) =XX ^(H)=({circumflex over (X)}+X _(Error))({circumflex over(X)}±X _(Error))^(H) ={circumflex over (X)}{circumflex over (X)} ^(H) +X_(Error) X _(Error) ^(H) +{circumflex over (X)}X _(Error) ^(H) +X_(Error) {circumflex over (X)} ^(H) ={circumflex over (X)}{circumflexover (X)} _(H) +X _(Error) X _(Error) ^(H).

When the input objects X are not in the space spanned by the downmixchannels (e.g. the number of downmix channels is less than the number ofinput signals) and the input objects cannot be represented as linearcombinations of the downmix channels, the MMSE-based algorithmsintroduce reconstruction inaccuracy X_(Error)X_(Error) ^(H).

13.5. Inter Object Correlation

In the auditory system, the cross-covariance (coherence/correlation) isclosely related to the perception of envelopment, of being surrounded bythe sound, and to the perceived width of a sound source. For example inSAOC based systems the Inter-Object Correlation (IOC) parameters areused for characterization of this property:

${{IOC}\left( {i,j} \right)} = {\frac{E_{X}\left( {i,j} \right)}{\sqrt{{E_{X}\left( {i,i} \right)}{E_{X}\left( {j,j} \right)}}}.}$

Let us consider an example of reproducing a sound source using two audiosignals. If the IOC value is close to one, the sound is perceived as awell-localized point source. If the IOC value is close to zero, theperceived width of the sound source increases and for extreme cases itcan even be perceived as two distinct sources [Blauert, Chapter 3].

13.6. Compensation for Reconstruction Inaccuracy

In the case of imperfect parametric reconstruction, the output signalmay exhibit a lower energy compared to the original objects. The errorin the diagonal elements of the covariance matrix may result in audiblelevel differences and error in the off-diagonal elements in a distortedspatial sound image (compared with the ideal reference output). Theproposed method has the purpose to solve this problem.

In the MPEG Surround (MPS), for example, this issue is treated only forsome specific channel-based processing scenarios, namely, formono/stereo downmix and limited static output configurations (e.g.,mono, stereo, 5.1, 7.1, etc). In object-oriented technologies, likeSAOC, which also uses mono/stereo downmix this problem is treated byapplying the MPS post-processing rendering for 5.1 output configurationonly.

The existing solutions are limited to standard output configurations andfixed number of input/output channels. Namely, they are realized asconsequent application of several blocks implementing just“mono-to-stereo” (or “stereo-to-three”) channel decorrelation methods.

Therefore, a general solution (e.g., energy level and correlationproperties correction method) for parametric reconstruction inaccuracycompensation is desired, which can be applied for a flexible number ofdownmix/output channels and arbitrary output configuration setups.

13.7. Conclusions

To conclude, an overview over the notation has been provided. Moreover,a parametric separation system has been described on which embodimentsaccording to the invention are based. Moreover, it has been outlinedthat the orthogonality principle applies to minimum mean squared errorestimation. Moreover, an equation for the computation of a covariancematrix E_(X) has been provided which applies in the presence of areconstruction error X_(Error). Also, the relationship between theso-called inter-object correlation values and the elements of acovariance matrix E_(X) has been provided, which may be applied, forexample, in embodiments according to the invention to derive desiredcovariance characteristics (or correlation characteristics) from theinter-object correlation values (which may be included in the parametricside information), and possibly form the object level differences.Moreover, it has been outlined that the characteristics of reconstructedobject signals may differ from desired characteristics because of animperfect reconstruction. Moreover, it has been outlined that existingsolutions to deal with the problem are limited to some specific outputconfigurations and rely on a specific combination of standard blocks,which makes the conventional solutions inflexible.

14. Embodiment According to FIG. 15 14.1. Concept Overview

Embodiments according to the invention extend the MMSE parametricreconstruction methods used in parametric audio separation schemes witha decorrelation solution for an arbitrary number of downmix/upmixchannels. Embodiments according to the invention, like, for example, theinventive apparatus and the inventive method, may compensate for theenergy loss during a parametric reconstruction and restore thecorrelation properties of estimated objects.

FIG. 15 provides an overview of the parametric downmix/upmix conceptwith an integrated decorrelation path. In other words, FIG. 15 shows, inthe form of a block schematic diagram, a parametric reconstructionsystem with decorrelation applied on rendered output.

The system according to FIG. 15 comprises an encoder 1510, which issubstantially identical to the encoder 1310 according to FIG. 13. Theencoder 1510 receives a plurality of object signals 1512 a to 1512 n,and provides on the basis thereof, one or more downmix signals 1516 a,1516 b, as well as a side information 1518. Downmix signals 1516 a, 1515b may be substantially identical to the downmix signals 1316 a, 1316 band may designated with Y. The side information 1518 may besubstantially identical to the side information 1318. However, the sideinformation may, for example, comprise a decorrelation mode parameter ora decorrelation method parameter, or a decorrelation complexityparameter. Moreover, the encoder 1510 may receive mixing parameters1514.

The parametric reconstruction system also comprises a transmissionand/or storage of the one or more downmix signals 1516 a, 1516 b and ofthe side information 1518, wherein the transmission and/or storage isdesignated with 1540, and wherein the one or more downmix signals 1516a, 1516 b and the side information 1518 (which may include parametricside information) may be encoded.

Moreover, the parametric reconstruction system according to FIG. 15comprises a decoder 1550, which is configured to receive the transmittedor stored one or more (possibly encoded) downmix signals 1516 a, 1516 band the transmitted or stored (possibly encoded) side information 1518and to provide, on the basis thereof, output audio signals 1552 a to1552 n. The decoder 1550 (which may be considered as a multi-channelaudio decoder) comprises a parametric object separator 1560 and a sideinformation processor 1570. Moreover, the decoder 1550 comprises arenderer 1580, a decorrelator 1590 and a mixer 1598.

The parametric object separator 1560 is configured to receive the one ormore downmix signals 1516 a, 1516 b and a control information 1572,which is provided by the side information processor 1570 on the basis ofthe side information 1518, and to provide, on the basis thereof, objectsignals 1562 a to 1562 n, which are also designated with X, and whichmay be considered as decoded audio signals. The control information 1572may, for example, comprise un-mixing coefficients to be applied todownmix signals (for example, to decoded downmix signals derived fromthe encoded downmix signals 1516 a, 1516 b) within the parametric objectseparator to obtain reconstructed object signals (for example, thedecoded audio signals 1562 a to 1562 n). The renderer 1580 renders thedecoded audio signals 1562 a to 1562 n (which may be reconstructedobject signals, and which may, for example, correspond to the inputobject signals 1512 a to 1512 n), to thereby obtain a plurality ofrendered audio signals 1582 a to 1582 n. For example, the renderer 1580may consider rendering parameters R, which may for example be providedby user interaction and which may, for example, define a renderingmatrix. However, alternatively, the rendering parameters may be takenfrom the encoded representation (which may include the encoded downmixsignals 1516 a, 1516 b and the encoded side information 1518).

The decorrelator 1590 is configured to receive the rendered audiosignals 1582 a to 1582 n and to provide, on the basis thereof,decorrelated audio signals 1592 a to 1592 n, which are also designatedwith W. The mixer 1598 receives the rendered audio signals 1582 a to1582 n and the decorrelated audio signals 1592 a to 1592 n, and combinesthe rendered audio signals 1582 a to 1582 n and the decorrelated audiosignals 1592 a to 1592 n, to thereby obtain the output audio signals1552 a to 1552 n. The mixer 1598 may also use control information 1574which is derived by the side information processor 1570 from the encodedside information 1518, as will be described below.

14.2. Decorrelator Function

In the following, some details regarding the decorrelator 1590 will bedescribed. However, it should be noted that different decorrelatorconcepts may be used, some of which will be described below.

In an embodiment, the decorrelator function w=F_(decorr)({circumflexover (z)}) provides an output signal w that is orthogonal to the inputsignal {circumflex over (z)} (E{w{circumflex over (z)}^(H)}=0). Theoutput signal w has equal (to the input signal {circumflex over (z)})spectral and temporal envelope properties (or at least similarproperties). Moreover, signal w is perceived similarly and has the same(or similar) subjective quality as the input signal {circumflex over(z)} (see, for example, [SAOC2]).

In case of multiple input signals, it is beneficial if the decorrelationfunction produces multiple outputs that are mutually orthogonal (i.e.,W_(i)=F_(decorr)({circumflex over (Z)}_(i)), such that W_(i){circumflexover (Z)}_(j) ^(H)=0 for all i and j, and W_(i)W_(j) ^(H)=0 for i≠j).

The exact specification for decorrelator function implementation is outof scope of this description. For example, the bank of several InfiniteImpulse Response (IIR) filter based decorrelators specified in the MPEGSurround Standard can be utilized for decorrelation purposes [MPS].

The generic decorrelators described in this description are assumed tobe ideal. This implies that (in addition to the perceptual requirements)the output of each decorrelator is orthogonal on its input and on theoutput of all other decorrelators. Therefore, for the given input Z withcovariance E_({circumflex over (Z)})={circumflex over (Z)}{circumflexover (Z)}^(H) and output W=F_(decorr)({circumflex over (Z)}) thefollowing properties of covariance matrices holds:

E _(W)(i,i)=E _({circumflex over (Z)})(i,i),E _(W)(i,j)=0, fori≠j,{circumflex over (Z)}W ^(H) =W{circumflex over (Z)} ^(H)=0.

From these relationships, it follows that

({circumflex over (Z)}+W)({circumflex over (Z)}+W)^(H) =E_({circumflex over (Z)}) +{circumflex over (Z)}W ^(H) +W{circumflex over(Z)} ^(H) +E _(W) =E _({circumflex over (Z)}) +E _(W).

The decorrelator output W can be used to compensate for predictioninaccuracy in an MMSE estimator (remembering that the prediction erroris orthogonal to the predicted signals) by using the predicted signalsas the inputs.

One should still note that the prediction errors are not in a generalcase orthogonal among themselves. Thus, one aim of the inventive concept(e.g. method) is to create a mixture of the “dry” (i.e., decorrelatorinput) signal (e.g., rendered audio signals 1582 a to 1582 n) and “wet”(i.e., decorrelator output) signal (e.g., decorrelated audio signals1592 a to 1592 n), such that the covariance matrix of the resultingmixture (e.g. output audio signals 1552 a to 1552 n) becomes similar tothe covariance matrix of the desired output.

Moreover, it should be noted that a complexity reduction for thedecorrelation unit may be used, which will be described in detail below,and which may bring along some imperfections of the decorrelated signal,which may, however, be acceptable.

14.3. Output Covariance Correction using Decorrelated Signals

In the following, a concept will be described to adjust covariancecharacteristics of the output audio signals 1552 a to 1552 n to obtain areasonably good hearing impression.

The proposed method for the output covariance error correction composesthe output signal {tilde over (Z)} (e.g. the output audio signals 1552 ato 1552 n) as a weighted sum of parametrically reconstructed signal{circumflex over (Z)} (e.g., the rendered audio signals 1582 a to 1582n) and its decorrelated part W. This sum can be represented as follows

{tilde over (Z)}=P{circumflex over (Z)}+MW.

The mixing matrices P applied to the direct signal {circumflex over (Z)}and M applied to decorrelated signal W have the following structure(with N=N_(UpmixCh), wherein N_(UpmixCh) designates a number of renderedaudio signals, which may be equal to a number of output audio signals):

${P = \begin{bmatrix}p_{1,1} & p_{1,2} & \ldots & p_{1,N} \\p_{2,2} & p_{2,2} & \ldots & p_{2,N} \\\vdots & \vdots & \ddots & \vdots \\p_{N,1} & p_{N,2} & \ldots & p_{N,N}\end{bmatrix}},{M = {\begin{bmatrix}m_{1,1} & m_{1,2} & \ldots & m_{1,N} \\m_{2,2} & m_{2,2} & \ldots & m_{2,N} \\\vdots & \vdots & \ddots & \vdots \\m_{N,1} & m_{N,2} & \ldots & m_{N,N}\end{bmatrix}.}}$

Appling notation for the combined matrix F=[P M] and signal

$S = \begin{bmatrix}\hat{Z} \\W\end{bmatrix}$

it yields:

{tilde over (Z)}=FS.

Using this representation, the covariance matrix E_({tilde over (Z)}) ofthe output signal {tilde over (Z)} is defined as

E _({tilde over (Z)}) =FE _(S) F ^(H).

The target covariance C of the ideally created rendered output scene isdefined as

C=RE _(X) R ^(H).

The mixing matrix F is computed such that the covariance matrixE_({tilde over (Z)}) of the final output approximates, or equals, thetarget covariance C as

E _({tilde over (Z)}) ≈C.

The mixing matrix F is computed, for example, as a function of knownquantities F=F(E_(S),E_(X),R) as

F=(U√{square root over (T)}U ^(H))H(V√{square root over (Q ⁻¹)}V ^(H)),

where the matrices U, T and V, Q can be determined, for example, usingSingular Value Decomposition (SVD) of the covariance matrices E_(S) andC yielding

C=UTU ^(H) ,E _(S) =VQV ^(H).

The prototype matrix H can be chosen according to the desired weightingsfor the direct and decorrelated signal paths.

For example, a possible prototype matrix H can be determined as

${H = \begin{bmatrix}a_{1,1} & 0 & \ldots & 0 & b_{1,1} & 0 & \ldots & 0 \\0 & a_{2,2} & \ldots & 0 & 0 & b_{2,2} & \ldots & 0 \\\vdots & \vdots & \ddots & \vdots & \vdots & \vdots & \ddots & \vdots \\0 & 0 & \ldots & a_{N,N} & 0 & 0 & \ldots & b_{N,N}\end{bmatrix}},$

where a_(i,i) ²+b_(i,i) ²=1.

In the following, some mathematical derivations for the general matrix Fstructure will be provided.

In other words, the derivation of the mixing matrix F for a generalsolution will be described in the following.

The covariance matrices E_(S) and C can be expressed using, e.g.,Singular Value Decomposition (SVD) as

E _(S) =VQV ^(H) ,C=UTU ^(H).

with T and Q being diagonal matrices with the singular values of C andE_(S) respectively, and U and V being unitary matrices containing thecorresponding singular vectors.

Note, that application of the Schur triangulation or Eigenvaluedecomposition (instead of SVD) leads to similar results (or evenidentical results if the diagonal matrices Q and T are restricted topositive values).

Applying this decomposition to the requirement E_(Z)≈C, it yields (atleast approximately)

${C = {{FE}_{S}F^{H}}},{{UTU}^{H} = {{FVQV}^{H}F^{H}}},{{\left( {U\sqrt{T}U^{H}} \right)\left( {U\sqrt{T}{UH}} \right)} = {{F\left( {V\sqrt{Q}V^{H}} \right)}\left( {V\sqrt{Q}V^{H}} \right)F^{H}}},{{\left( {U\sqrt{T}U^{H}} \right)\left( {U\sqrt{T}U^{H}} \right)} = {\left( {{FV}\sqrt{Q}V^{H}} \right)\left( {V\sqrt{Q}V^{H}F^{H}} \right)}},{{\left( {U\sqrt{T}U^{H}} \right)\left( {U\sqrt{T}U^{H}} \right)^{H}} = {\left( {{FV}\sqrt{Q}V^{H}} \right){\left( {{FV}\sqrt{Q}V^{H}} \right)^{H}.}}}$

In order to take care about the dimensionality of the covariancematrices, regularization is needed in some cases. For example, aprototype matrix H of size N_(UpmixCh)×2N_(UpmixCh) with the propertythat HH^(H)=I_(N) _(UpmixCh) can be applied UpmixCh

${{\left( {U\sqrt{T}U^{H}} \right){{HH}^{H}\left( {U\sqrt{T}U^{H}} \right)}} = {{F\left( {V\sqrt{Q}V^{H}} \right)}\left( {V\sqrt{Q}V^{H}} \right)F^{H}}},{{\left( {U\sqrt{T}U^{H}} \right)H} = {{F\left( {V\sqrt{Q}V^{H}} \right)}.}}$

It follows that mixing matrix F can be determined as

F=(U√{square root over (T)}U ^(H))H(V√{square root over (Q ⁻¹)}V ^(H)).

The prototype matrix H is chosen according to the desired weightings forthe direct and decorrelated signal paths. For example, a possibleprototype matrix H can be determined as

${H = \begin{bmatrix}a_{1,1} & 0 & \ldots & 0 & b_{1,1} & 0 & \ldots & 0 \\0 & a_{2,2} & \ldots & 0 & 0 & b_{2,2} & \ldots & 0 \\\vdots & \vdots & \ddots & \vdots & \vdots & \vdots & \ddots & \vdots \\0 & 0 & \ldots & a_{N,N} & 0 & 0 & \ldots & b_{N,N}\end{bmatrix}},$

where a_(i,i) ²+b_(i,i) ²=1.

Depending on the condition of the covariance matrix E_(S) of thecombined signals, the last equation may need to include someregularization, but otherwise it should be numerically stable.

To conclude, a concept has been described to derive the output audiosignals (represented by matrix {tilde over (Z)}, or equivalently, byvector {tilde over (z)}) on the basis of the rendered audio signals(represented by matrix {circumflex over (Z)}, or equivalently, vector{circumflex over (z)}) and the decorrelated audio signals (representedby matrix W, or equivalently, vector w). As can be seen, two mixingmatrices P and M of general matrix structure are commonly determined.For example, a combined matrix F, as defined above, may be determined,such that a covariance matrix E_({circumflex over (Z)}) of the outputaudio signals 1552 a to 1562 n approximates, or equals, a desiredcovariance (also designated as target covariance) C. The desiredcovariance matrix C may, for example, be derived on the basis of theknowledge of the rendering matrix R (which may be provided by userinteraction, for example) and on the basis of a knowledge of the objectcovariance matrix E_(X), which may for example be derived on the basisof the encoded side information 1518. For example, the object covariancematrix E_(X) may be derived using the inter-object correlation valuesIOC, which are described above, and which may be included in the encodedside information 1518. Thus, the target covariance matrix C may, forexample, be provided by the side information processor 1570 as theinformation 1574, or as part of the information 1574.

However, alternatively, the side information processor 1570 may alsodirectly provide the mixing matrix F as the information 1574 to themixer 1598.

Moreover, a computation rule for the mixing matrix F has been described,which uses a singular value decomposition. However, it should be notedthat there are some degrees of freedom, since the entries a_(i,i) andb_(i,i) of the prototype matrix H may be chosen. Advantageously, theentries of the prototype matrix H are chosen to be somewhere between 0and 1. If values a_(i,i) are chosen to be closer to one, there will be asignificant mixing of rendered output audio signals, while the impact ofthe decorrelated audio signals is comparatively small, which may bedesirable in some situations. However, in some other situations it maybe more desirable to have a comparatively large impact of thedecorrelated audio signals, while there is only a weak mixing betweenrendered audio signals. In this case, values b_(i,i) are typicallychosen to be larger than a_(i,i). Thus, the decoder 1550 can be adaptedto the requirements by appropriately choosing the entries of theprototype matrix H.

14.4. Simplified Methods for Output Covariance Correction

In this section, two alternative structures for the mixing matrix Fmentioned above are described along with exemplary algorithms fordetermining its values. The two alternatives are designed to fordifferent input content (e.g. audio content):

-   -   Covariance adjustment method for highly correlated content        (e.g., channel based input with high correlation between        different channel pairs).    -   Energy compensation method for independent input signals (e.g.,        object based input, assumed usually independent).

14.4.1. Covariance Adjustment Method (A)

Taking in account that the signal {circumflex over (Z)} (e.g., therendered audio signals 1582 a to 1582 n) are already optimal in theMMSE-sense, it is usually not advisable to modify the parametricreconstructions {circumflex over (Z)} (e.g., the output audio signals1552 a to 1552 n) in order to improve the covariance properties of theoutput {tilde over (Z)} because this may affect the separation quality.

If only the mixture of the decorrelated signals W is manipulated, themixing matrix P can be reduced to an identity matrix (or a multiplethereof). Thus, this simplified method can be described by setting

${P = \begin{bmatrix}1 & 0 & \ldots & 0 \\0 & 1 & \ldots & 0 \\\vdots & \vdots & \ddots & \vdots \\0 & 0 & \ldots & 1\end{bmatrix}},{M = {\begin{bmatrix}m_{1,1} & m_{1,2} & \ldots & m_{1,N} \\m_{2,2} & m_{2,2} & \ldots & m_{2,N} \\\vdots & \vdots & \ddots & \vdots \\m_{N,1} & m_{N,2} & \ldots & m_{N,N}\end{bmatrix}.}}$

The final output of the system can be represented as

{tilde over (Z)}={circumflex over (Z)}+MW

Consequently the final output covariance of the system can berepresented as:

E _({tilde over (Z)}) =E _({circumflex over (Z)}) ME _(W) M ^(H)

The difference Δ_(E) between the ideal (or desired) output covariancematrix C and the covariance matrix E_({circumflex over (Z)}) of therendered parametric reconstruction (e.g., of the rendered audio signals)is given by

Δ_(E) =C−E _({circumflex over (Z)}).

Therefore, mixing matrix M is determined such that

Δ_(E) ≈ME _(W) M ^(H).

The mixing matrix M is computed such that the covariance matrix of themixed decorrelated signals MW equals or approximates the covariancedifference between the desired covariance and the covariance of the drysignals (e.g., of the rendered audio signals). Consequently thecovariance of the final output will approximate the target covarianceE_(Z)≈C:

M=(U√{square root over (T)}u ^(H))(V√{square root over (Q ⁻¹)}V ^(H)),

where the matrices U, T and V, Q can be determined, for example, usingSingular Value Decomposition (SVD) of the covariance matrices Δ_(E) andE_(W) yielding

Δ_(E) =UTU ^(H) ,E _(W) =VQV ^(H).

This approach ensures good cross-correlation reconstruction maximizinguse of the dry output (e.g., of the rendered audio signals 1582 a to1582 n) and utilizes freedom of mixing of decorrelated signals only. Inother words, there is no mixing between different rendered audio signalsallowed when combining the rendered audio signals (or a scaled versionthereof) with the one or more decorrelated audio signals. However, it isallowed that a given decorrelated signal is combined, with a same ordifferent scaling, with a plurality of rendered audio signals, or ascaled version thereof, in order to adjust cross-correlationcharacteristics or cross-covariance characteristics of the output audiosignals. The combination is defined, for example, by the matrix M asdefined here.

In the following, some mathematical derivations for the restrictedmatrix F structure will be provided.

In other words, the derivation of the mixing matrix M for the simplifiedmethod “A” will be explained.

The covariance matrices Δ_(E) and E_(W) can be expressed using, e.g.,Singular Value Decomposition (SVD) as

Δ_(E) =UTU ^(H) ,E _(W) =VQV ^(H).

with T and Q being diagonal matrices with the singular values of Δ_(E)and E_(W) respectively, and U and V being unitary matrices containingthe corresponding singular vectors.

Note, that application of the Schur triangulation or Eigenvaluedecomposition (instead of SVD) leads to similar results (or evenidentical results if the diagonal matrices Q and T are restricted topositive values).

Applying this decomposition to the requirement E_(Z)≈C, it yields (atleast approximately)

${\Delta_{E} = {{ME}_{W}M^{H}}},{{UTU}^{H} = {{MVQV}^{H}M^{H}}},{{\left( {U\sqrt{T}U^{H}} \right)\left( {U\sqrt{T}U^{H}} \right)} = {{M\left( {V\sqrt{Q}V^{H}} \right)}\left( {V\sqrt{Q}V^{H}} \right)M^{H}}},{{\left( {U\sqrt{T}U^{H}} \right)\left( {U\sqrt{T}U^{H}} \right)} = {\left( {{MV}\sqrt{Q}V^{H}} \right)\left( {V\sqrt{Q}V^{H}M^{H}} \right)}},{{\left( {U\sqrt{T}U^{H}} \right)\left( {U\sqrt{T}U^{H}} \right)} = {\left( {{MV}\sqrt{Q}V^{H}} \right)\left( {{MV}\sqrt{Q}V^{H}} \right)^{H}}},{\left( {U\sqrt{T}U^{H}} \right) = {{M\left( {V\sqrt{Q}V^{H}} \right)}.}}$

Noting that both sides of the equation represent a square of a matrix,we drop the squaring, and solve for the full matrix M.

It follows that mixing matrix M can be determined as

M=(U√{square root over (T)}U ^(H))(V√{square root over (Q ³¹ ¹)}V ^(H)).

This method can be derived from the general method by setting theprototype matrix H as follows

$H = {\begin{bmatrix}1 & 0 & \ldots & 0 & 1 & 0 & \ldots & 0 \\0 & 1 & \ldots & 0 & 0 & 1 & \ldots & 0 \\\vdots & \vdots & \ddots & \vdots & \vdots & \vdots & \ddots & \vdots \\0 & 0 & \ldots & 1 & 0 & 0 & \ldots & 1\end{bmatrix}.}$

Depending on the condition of the covariance matrix E_(W) of the wetsignals, the last equation may need to include some regularization, butotherwise it should be numerically stable.

14.4.2. Energy Compensation Method (B)

Sometimes (depending on the application scenario) is not desired toallow mixing of the parametric reconstructions (e.g., of the renderedaudio signals) or the decorrelated signals, but to individually mix eachparametrically reconstructed signal (e.g., rendered audio signal) withits own decorrelated signal only.

In order to achieve this requirement, an additional constraint should beintroduced to the simplified method “A”. Now, the mixing matrix M of thewet signals (decorrelated signals) is necessitated to have a diagonalform:

${P = \begin{bmatrix}1 & 0 & \ldots & 0 \\0 & 1 & \ldots & 0 \\\vdots & \vdots & \ddots & \vdots \\0 & 0 & \ldots & 1\end{bmatrix}},{M = {\begin{bmatrix}m_{1,1} & 0 & \ldots & 0 \\0 & m_{2,2} & \ldots & 0 \\\vdots & \vdots & \ddots & \vdots \\0 & 0 & \ldots & m_{N,N}\end{bmatrix}.}}$

The main goal of this approach is to use decorrelated signals tocompensate for the loss of energy in the parametric reconstruction(e.g., rendered audio signal), while the off-diagonal modification ofthe covariance matrix of the output signal is ignored, i.e., there is nodirect handling of the cross-correlations. Therefore, no cross-leakagebetween the output objects/channels (e.g., between the rendered audiosignals) is introduced in the application of the decorrelated signals.

As a result, only the main diagonal of the target covariance matrix (ordesired covariance matrix) can be reached, and the off-diagonals are onthe mercy of the accuracy of the parametric reconstruction and the addeddecorrelated signals. This method is most suitable for object-only basedapplications, in which the signals can be considered as uncorrelated.

The final output of the method (e.g. the output audio signals) is givenby {tilde over (Z)}={circumflex over (Z)}+MW with a diagonal matrix Mcomputed such that the covariance matrix entries corresponding to theenergies of the reconstructed signals E_({tilde over (Z)})(i,i) areequal with the desired energies

E _({tilde over (Z)})(i,i)=C(i,i).

C may be determined as explained above for the general case.

For example, the mixing matrix M can be directly derived by dividing thedesired energies of the compensation signals (differences between thedesired energies (which may be described by diagonal elements of thecross-covariance matrix C) and the energies of the parametricreconstructions (which may be determined by the audio decoder)) with theenergies of the decorrelated signals (which may be determined by theaudio decoder):

${M\left( {i,j} \right)} = \left\{ \begin{matrix}\sqrt{\min \left( {\lambda_{Dec},{\max \left( {0,\frac{{C\left( {i,i} \right)} - {E_{\hat{Z}}\left( {i,i} \right)}}{\max \left( {{E_{W}\left( {i,i} \right)},ɛ} \right)}} \right)}} \right)} & {{i = j},} \\0 & {i \neq {j.}}\end{matrix} \right.$

wherein λ_(Dec) is a non-negative threshold used to limit the amount ofdecorrelated component added to the output signals (e.g., λ_(Dec)=4).

It should be noted that the energies can be reconstructed parametrically(for example, using OLDs, IOCs and rendering coefficients) or may beactually computed by the decoder (which is typically morecomputationally expensive).

This method can be derived from the general method by setting theprototype matrix H as follows:

$H = {\begin{bmatrix}1 & 0 & \ldots & 0 & 1 & 0 & \ldots & 0 \\0 & 1 & \ldots & 0 & 0 & 1 & \ldots & 0 \\\vdots & \vdots & \ddots & \vdots & \vdots & \vdots & \ddots & \vdots \\0 & 0 & \ldots & 1 & 0 & 0 & \ldots & 1\end{bmatrix}.}$

This method maximizes the use of the dry rendered outputs explicitly.The method is equivalent with the simplification “A” when the covariancematrices have no off-diagonal entries.

This method has a reduced computational complexity.

However, it should be noted that the energy compensation method, doesn'tnecessarily imply that the cross-correlation terms are not modified.This holds only if we use ideal decorrelators and no complexityreduction for the decorrelation unit. The idea of the method is torecover the energy and ignore the modifications in the cross terms (thechanges in the cross-terms will not modify substantially the correlationproperties and will not affect the overall spatial impression).

14.5. Requirements for the Mixing Matrix F

In the following, it will be explained that the mixing matrix F, aderivation of which has been described in sections 14.3 and 14.4,fulfills requirements to avoid degradations.

In order to avoid degradations in the output, any method forcompensating for the parametric reconstruction errors should produce aresult with the following property: if the rendering matrix equals thedownmix matrix then the output channels should equal (or at leastapproximate) the downmix channels. The proposed model fulfills thisproperty. If the rendering matrix is equal with the downmix matrix R=D,the parametric reconstruction is given by

{circumflex over (Z)}=R{circumflex over (X)}=D{circumflex over(X)}=DGY=DED ^(H)(DED ^(H))⁻¹ Y≈Y,

and the desired covariance matrix will be

C=RE _(X) R ^(H) =DE _(X) D ^(H) =E _(Y).

Therefore the equation to be solved for obtaining the mixing matrix F is

${E_{Y} = {{F\begin{bmatrix}E_{Y} & 0_{N_{UpmixCh}} \\0_{N_{UpmixCh}} & E_{W}\end{bmatrix}}F^{H}}},$

where 0_(N) _(UpmixCh) is a square matrix of sizeN_(UpmixCH)×N_(UpmixCh) of zeros. Solving previous equation for F, onecan obtain:

$F = {\begin{bmatrix}1 & 0 & \ldots & 0 & 0 & 0 & \ldots & 0 \\0 & 1 & \ldots & 0 & 0 & 0 & \ldots & 0 \\\vdots & \vdots & \ddots & \vdots & \vdots & \vdots & \ddots & \vdots \\0 & 0 & \ldots & 1 & 0 & 0 & \ldots & 0\end{bmatrix}.}$

This means that the decorrelated signals will have zero-weight in thesumming, and the final output will be given by the dry signals, whichare identical with the downmix signals

{tilde over (Z)}=P{circumflex over (Z)}+MW={circumflex over (Z)}≈Y.

As a result, the given requirement for the system output to equal thedownmix signal in this rendering scenario is fulfilled.

14.6. Estimation of Signal Covariance Matrix E_(S)

To obtain the mixing matrix F the knowledge of the covariance matrixE_(S) of the combined signals S is necessitated or at least desirable.

In principle, it is possible to estimate the covariance matrix E_(S)directly from the available signals (namely, from parametricreconstruction {circumflex over (Z)} and the decorrelator output W).Although this approach may lead to more accurate results, it is may notbe practical because of the associated computational complexity. Theproposed methods use parametric approximations of the covariance matrixE_(S).

The general structure of the covariance matrix E_(S) can be representedas

${E_{S} = \begin{bmatrix}E_{\hat{Z}} & E_{\hat{Z}W}^{H} \\E_{\hat{Z}W} & E_{W}\end{bmatrix}},$

where the matrix E_({circumflex over (Z)}W) is cross-covariance betweenthe direct {circumflex over (Z)} and decorrelated W signals.

Assuming that the decorrelators are ideal (i.e., energy-preserving, theoutputs being orthogonal to the inputs, and all outputs being mutuallyorthogonal), the covariance matrix E_(S) can be expressed using thesimplified form as

$E_{S} = {\begin{bmatrix}E_{\hat{Z}} & 0 \\0 & E_{W}\end{bmatrix}.}$

The covariance matrix E_({circumflex over (Z)}) of the parametricallyreconstructed signal {circumflex over (Z)} can be determinedparametrically as

E _({circumflex over (Z)}) =RE _({circumflex over (X)}) R ^(H) =RGDE_(X) D ^(H) G ^(H) R ^(H).

The covariance matrix E_(W) of the decorrelated signal W is assumed tofulfill the mutual orthogonality property and to contain only thediagonal elements of E_({circumflex over (Z)}) as follows

${E_{W}\left( {i,j} \right)} = \left\{ {\begin{matrix}{E_{\hat{Z}}\left( {i,i} \right)} & {{{for}\mspace{14mu} i} = j} \\0 & {{{for}\mspace{14mu} i} \neq j}\end{matrix}.} \right.$

If the assumption of mutual orthogonality and/or energy-preservation isviolated (e.g., in the case when the number of decorrelators availableis smaller than the number of signals to be decorrelated), then thecovariance matrix E_(W) can be estimated as

E _(W) =M _(post)[matdiag(M _(pre) E _({circumflex over (Z)}) M _(pre)^(H))]M _(post) ^(H).

15. Complexity Reduction for Decorrelation Unit

In the following, it will be described how the complexity of thedecorrelators used in embodiments according to the present invention canbe reduced.

It should be noted that decorrelator function implementation is oftencomputationally complex. In some applications (e.g., portable decodersolutions) limitations on the number of decorrelators may need to beintroduced due to the restricted computational resources. This sectionprovides a description of means for reduction of decorrelator unitcomplexity by controlling the number of applied decorrelators (ordecorrelations). The decorrelation unit interface is depicted in FIGS.16 and 17.

FIG. 16 shows a block schematic diagram of a simple (conventional)decorrelation unit. The decorrelation unit 1600 according to FIG. 6 isconfigured to receive N decorrelator input signals 1610 a to 1610 n,like for example rendered audio signals {circumflex over (Z)}. Moreover,the decorrelation unit 1600 provides N decorrelator output signals 1612a to 1612 n. The decorrelation unit 1600 may, for example, comprise Nindividual decorrelators (or decorrelation functions) 1620 a to 1620 n.For example, each of the individual decorrelators 1620 a to 1620 n mayprovide one of the decorrelator output signals 1612 a to 1612 n on thebasis of an associated one of the decorrelator input signals 1610 a to1610 n. Accordingly, N individual decorrelators, or decorrelationfunctions, 1620 a to 1620 n may be necessitated to provide the Ndecorrelated signals 1612 a to 1612 n on the basis of the N decorrelatorinput signals 1610 a to 1610 n.

However, FIG. 17 shows a block schematic diagram of a reduced complexitydecorrelation unit 1700. The reduced complexity decorrelation unit 1700is configured to receive N decorrelator input signals 1710 a to 1710 nand to provide, on the basis thereof, N decorrelator output signals 1712a to 1712 n. For example, the decorrelator input signals 1710 a to 1710n may be rendered audio signals {circumflex over (Z)}, and thedecorrelator output signals 1712 a to 1712 n may be decorrelated audiosignals W.

The decorrelator 1700 comprises a premixer (or equivalently, a premixingfunctionality) 1720 which is configured to receive the first set of Ndecorrelator input signals 1710 a to 1710 n and to provide, on the basisthereof, a second set of K decorrelator input signals 1722 a to 1722 k.For example, the premixer 1720 may perform a so-called “premixing” or“downmixing” to derive the second set of K decorrelator input signals1722 a to 1722 k on the basis of the first set of N decorrelator inputsignals 1710 a to 1710 n. For example, the K signals of the second setof K decorrelator input signals 1722 a to 1722 k may be representedusing a matrix {circumflex over (Z)}_(mix).

The decorrelation unit (or, equivalently, multi-channel decorrelator)1700 also comprises a decorrelator core 1730, which is configured toreceive the K signals of the second set of decorrelator input signals1722 a to 1722 k, and to provide, on the basis thereof, K decorrelatoroutput signals which constitute a first set of decorrelator outputsignals 1732 a to 1732 k. For example, the decorrelator core 1730 maycomprise K individual decorrelators (or decorrelation functions),wherein each of the individual decorrelators (or decorrelationfunctions) provides one of the decorrelator output signals of the firstset of K decorrelator output signals 1732 a to 1732 k on the basis of acorresponding decorrelator input signal of the second set of Kdecorrelator input signals 1722 a to 1722 k. Alternatively, a givendecorrelator, or decorrelation function, may be applied K times, suchthat each of the decorrelator output signals of the first set of Kdecorrelator output signals 1732 a to 1732 k is based on a single one ofthe decorrelator input signals of the second set of K decorrelator inputsignals 1722 a to 1722 k.

The decorrelation unit 1700 also comprises a postmixer 1740, which isconfigured to receive the K decorrelator output signals 1732 a to 1732 kof the first set of decorrelator output signals and to provide, on thebasis thereof, the N signals 1712 a to 1712 n of the second set ofdecorrelator output signals (which constitute the “external”decorrelator output signals).

It should be noted that the premixer 1720 may advantageously perform alinear mixing operation, which may be described by a premixing matrixM_(pre). Moreover, the postmixer 1740 may perform a linear mixing (orupmixing) operation, which may be represented by a postmixing matrixM_(post), to derive the N decorrelator output signals 1712 a to 1712 nof the second set of decorrelator output signals from the first set of Kdecorrelator output signals 1732 a to 1732 k (i.e., from the outputsignals of the decorrelator core 1730).

The main idea of the proposed method and apparatus is to reduce thenumber of input signals to the decorrelators (or to the decorrelatorcore) from N to K by:

-   -   Premixing the signals (e.g., the rendered audio signals) to        lower number of channels with

{circumflex over (Z)} _(mix) =M _(pre) {circumflex over (Z)}.

-   -   Applying the decorrelation using the available K decorrelators        (e.g., of the decorrelator core) with

{circumflex over (Z)} _(mix) ^(dec)=Decorr({circumflex over (Z)}_(mix)).

-   -   Up-mixing the decorrelated signals back to N channels with

W=M _(post) {circumflex over (Z)} _(mix) ^(dec)

The premixing matrix M_(pre) can be constructed based on thedownmix/rendering/correlation/etc information such that the matrixproduct (M_(pre)M_(pre) ^(H)) becomes well-conditioned (with respect toinversion operation). The postmixing matrix can be computed as

M _(post) ≈M _(pre) ^(H)(M _(pre) M _(pre) ^(H))⁻¹.

Even though the covariance matrix of the intermediate decorrelatedsignals {tilde over (S)} (or {circumflex over (Z)}_(mix) ^(dec)) isdiagonal (assuming ideal decorrelators), the covariance matrix of thefinal decorrelated signals W will quite likely not be diagonal anymorewhen using this kind of a processing. Therefore, the covariance matrixmay be to be estimated using the mixing matrices as

E=M _(post)[matdiag(M _(pre) E _({circumflex over (Z)}) M _(pre) ^(H))]M_(post) ^(H)

The number of used decorrelators (or individual decorrelations), K, isnot specified and is dependent on the desired computational complexityand available decorrelators. Its value can be varied from N (highestcomputational complexity) down to 1 (lowest computational complexity).

The number of input signals to the decorrelator unit, N, is arbitraryand the proposed method supports any number of input signals,independent on the rendering configuration of the system.

For example in applications using 3D audio content, with high number ofoutput channels, depending on the output configuration one possibleexpression for the premixing matrix M_(pre) is described below.

In the following, it will be described how the premixing, which isperformed by the premixer 1720 (and, consequently, the postmixing, whichis performed by the postmixer 1740) is adjusted if the decorrelationunit 1700 is used in a multi-channel audio decoder, wherein thedecorrelator input signals 1710 a to 1710 n of the first set ofdecorrelator input signals are associated with different spatialpositions of an audio scene.

For this purpose, FIG. 18 shows a table representation of loudspeakerpositions, which are used for different output formats.

In the table 1800 of FIG. 18, a first column 1810 describes aloudspeaker index number. A second column 1820 describes a loudspeakerlabel. A third column 1830 describes an azimuth position of therespective loudspeaker, and a fourth column 1832 describes an azimuthtolerance of the position of the loudspeaker. A fifth column 1840describes an elevation of a position of the respective loudspeaker, anda sixth column 1842 describes a corresponding elevation tolerance. Aseventh column 1850 indicates which loudspeakers are used for the outputformat O-2.0. An eighth column 1860 shows which loudspeakers are usedfor the output format O-5.1. A ninth column 1864 shows whichloudspeakers are used for the output format O-7.1. A tenth column 1870shows which loudspeakers are used for the output format O-8.1, aneleventh column 1880 shows which loudspeakers are used for the outputformat O-10.1, and a twelfth column 1890 shows which loudspeakers areused for the output formal O-22.2. As can be seen, two loudspeakers areused for output format O-2.0, six loudspeakers are used for outputformat O-5.1, eight loudspeakers are used for output format O-7.1, nineloudspeakers are used for output format O-8.1, 11 loudspeakers are usedfor output format O-10.1, and 24 loudspeaker are used for output formatO-22.2.

However, it should be noted that one low frequency effect loudspeaker isused for output formats O-5.1, O-7.1, O-8.1 and O-10.1, and that two lowfrequency effect loudspeakers (LFE1, LFE2) are used for output formatO-22.2. Moreover, it should be noted that, in one embodiment, onerendered audio signal (for example, one of the rendered audio signals1582 a to 1582 n) is associated with each of the loudspeakers, exceptfor the one or more low frequency effect loudspeakers. Accordingly, tworendered audio signals are associated with the two loudspeakers usedaccording to the O-2.0 format, five rendered audio signals areassociated with the five non-low-frequency-effect loudspeakers if theO-5.1 format is used, seven rendered audio signals are associated withseven non-low-frequency-effect loudspeakers if the O-7.1 format is used,eight rendered audio signals are associated with the eightnon-low-frequency-effect loudspeakers if the O-8.1 format is used, tenrendered audio signals are associated with the tennon-low-frequency-effect loudspeakers if the O-10.1 format is used, and22 rendered audio signals are associated with the 22non-low-frequency-effect loudspeakers if the O-22.2 format is used.

However, it is often desirable to use a smaller number of (individual)decorrelators (of the decorrelator core), as mentioned above. In thefollowing, it will be described how the number of decorrelators can bereduced flexibly when the O-22.2 output format is used by amulti-channel audio decoder, such that there are 22 rendered audiosignals 1582 a to 1582 n (which may be represented by a matrix{circumflex over (Z)}, or by a vector {circumflex over (z)}).

FIGS. 19A to 19G represent different options for premixing the renderedaudio signals 1582 a to 1582 n under the assumption that there are N=22rendered audio signals. For example, FIG. 19A shows a tablerepresentation of entries of a premixing matrix M_(pre). The rows,labeled with 1 to 11 in FIG. 19A, represent the rows of the premixingmatrix M_(pre), and the columns, labeled with 1 to 22 are associatedwith columns of the premixing matrix M_(pre). Moreover, it should benoted that each row of the premixing matrix M_(pre) is associated withone of the K decorrelator input signals 1722 a to 1722 k of the secondset of decorrelator input signals (i.e., with the input signals of thedecorrelator core). Moreover, each column of the premixing matrixM_(pre) is associated with one of the N decorrelator input signals 1710a to 1710 n of the first set of decorrelator input signals, andconsequently with one of the rendered audio signals 1582 a to 1582 n(since the decorrelator input signals 1710 a to 1710 n of the first setof decorrelator input signals are typically identical to the renderedaudio signals 1582 to 1582 n in an embodiment). Accordingly, each columnof the premixing matrix M_(pre) is associated with a specificloudspeaker and, consequently, since loudspeakers are associate withspatial positions, with a specific spatial position. A row 1910indicates to which loudspeaker (and, consequently, to which spatialposition) the columns of the premixing matrix M_(pre) are associated(wherein the loudspeaker labels are defined in the column 1820 of thetable 1800).

In the following, the functionality defined by the premixing M_(pre) ofFIG. 19A will be described in more detail. As can be seen, renderedaudio signals associated with the speakers (or, equivalently, speakerpositions) “CH_M_000” and “CH_L_000” are combined, to obtain a firstdecorrelator input signal of the second set of decorrelator inputsignals (i.e., a first downmixed decorrelator input signal), which isindicated by the “1”-values in the first and second column of the firstrow of the premixing matrix M_(pre). Similarly, rendered audio signalsassociated with speakers (or, equivalently, speaker positions)“CH_U_000” and “CH_T_000” are combined to obtain a second downmixeddecorrelator input signal (i.e., a second decorrelator input signal ofthe second set of decorrelator input signals). Moreover, it can be seenthat the premixing matrix M_(pre) of FIG. 19A defines elevencombinations of two rendered audio signals each, such that elevendownmixed decorrelator input signals are derived from 22 rendered audiosignals. It can also be seen that four center signals are combined, toobtain two downmixed decorrelator input signals (confer columns 1 to 4and rows 1 and 2 of the premixing matrix). Moreover, it can be seen thatthe other downmixed decorrelator input signals are each obtained bycombining two audio signals associated with the same side of the audioscene. For example, a third downmixed decorrelator input signal,represented by the third row of the premixing matrix, is obtained bycombining rendered audio signals associated with an azimuth position of+135° (“CH_M_L135”; “CH_U_L135”). Moreover, it can be seen that a fourthdecorrelator input signal (represented by a fourth row of the premixmatrix) is obtained by combining rendered audio signals associated withan azimuth position of −135° (“CH_M_R135”; “CH_U_R135”). Accordingly,each of the downmixed decorrelator input signals is obtained bycombining two rendered audio signals associated with same (or similar)azimuth position (or, equivalently, horizontal position), wherein thereis typically a combination of signals associated with differentelevation (or, equivalently, vertical position). Taking reference now toFIG. 19B, which shows premixing coefficients (entries of the premixingmatrix M_(pre)) for N=22 and K=10. The structure of the table of FIG.19B is identical to the structure of the table of FIG. 19A. However, ascan be seen, the premixing matrix M_(pre) according to FIG. 19B differsfrom the premixing matrix M_(pre) of FIG. 19A in that the first rowdescribes the combination of four rendered audio signals having channelIDs (or positions) “CH_M_000”, “CH_L_000”, “CH_U_000” and “CH_T_000”. Inother words, four rendered audio signals associated with verticallyadjacent positions are combined in the premixing in order to reduce thenumber of necessitated decorrelators (ten decorrelators instead ofeleven decorrelators for the matrix according to FIG. 19A).

Taking reference now to FIG. 19C, which shows premixing coefficients(entries of the premixing matrix M_(pre)) for N=22 and K=9, it can beseen, that the premixing matrix M_(pre) according to FIG. 19C onlycomprises nine rows. Moreover, it can be seen from the second row of thepremixing matrix M_(pre) of FIG. 19C that rendered audio signalsassociated with channel IDs (or positions) “CH_M_L135”, “CH_U_L135”,“CH_M_R135” and “CH_U_R135” are combined (in a premixer configuredaccording to the premixing matrix of FIG. 19C) to obtain a seconddownmixed decorrelator input signal (decorrelator input signal of thesecond set of decorrelator input signals). As can be seen, renderedaudio signals which have been combined into separate downmixeddecorrelator input signals by the premixing matrices according to FIGS.19A and 19B are downmixed into a common downmixed decorrelator inputsignal according to FIG. 19C. Moreover, it should be noted that therendered audio signals having channel IDs “CH_M_L135” and “CH_U_L135”are associated with identical horizontal positions (or azimuthpositions) on the same side of the audio scene and spatially adjacentvertical positions (or elevations), and that the rendered audio signalshaving channel IDs “CH_M_R135” and “CH_U_R135” are associated withidentical horizontal positions (or azimuth positions) on a second sideof the audio scene and spatially adjacent vertical positions (orelevations). Moreover, it can be said that the rendered audio signalshaving channel I Ds “CH_M_L135”, “CH_U_L135”, “CH_M_R135” and“CH_U_R135” are associated with a horizontal pair (or even a horizontalquadruple) of spatial positions comprising a left side position and aright side position. In other words, it can be seen in the second row ofthe premixing matrix M_(pre) of FIG. 19C that two of the four renderedaudio signals, which are combined to be decorrelated using a singlegiven decorrelator, are associated with spatial positions on a left sideof an audio scene, and that two of the four rendered audio signals whichare combined to be decorrelated using the same given decorrelator, areassociated with spatial positions on a right side of the audio scene.Moreover, it can be seen that the left sided rendered audio signals (ofsaid four rendered audio signals) are associated with spatial positionswhich are symmetrical, with respect to a central plane of the audioscene, with the spatial positions associated with the right sidedrendered audio signals (of said four rendered audio signal), such that a“symmetrical” quadruple of rendered audio signals are combined by thepremixing to be decorrelated using a single (individual) decorrelator.

Taking reference to FIGS. 19D, 19E, 19F and 19G, it can be seen thatmore and more rendered audio signals are combined with decreasing numberof (individual) decorrelators (i.e. with decreasing K). As can be seenin FIGS. 19A to 19G, typically rendered audio signals which aredownmixed into two separate downmixed decorrelator input signals arecombined when decreasing the number of decorrelators by 1. Moreover, itcan be seen that typically such rendered audio signals are combined,which are associated with a “symmetrical quadruple” of spatialpositions, wherein, for a comparatively high number of decorrelators,only rendered audio signals associated with equal or at least similarhorizontal positions (or azimuth positions) are combined, while forcomparatively lower number of decorrelators, rendered audio signalsassociated with spatial positions on opposite sides of the audio sceneare also combined.

Taking reference now to FIGS. 20A to 20D, 21A to 21C, 22A to 22B and 23,it should be noted that similar concepts can also be applied for adifferent number of rendered audio signals.

For example, FIGS. 20A to 20D describe entries of the premixing matrixM_(pre) for N=10 and for K between 2 and 5.

Similarly, FIGS. 21A to 21C describe entries of the premixing matrixM_(pre) for N=8 and K between 2 and 4.

Similarly, FIGS. 21D to 21F describe entries of the premixing matrixM_(pre) for N=7 and K between 2 and 4.

FIGS. 22A and 22B show entries of the premixing matrix for N=5 and K=2and K=3.

Finally, FIG. 23 shows entries of the premixing matrix for N=2 and K=1.

To summarize, the premixing matrices according to FIGS. 19 to 23 can beused, for example, in a switchable manner, in a multi-channeldecorrelator which is part of a multi-channel audio decoder. Theswitching between the premixing matrices can be performed, for example,in dependence on a desired output configuration (which typicallydetermines a number N of rendered audio signals) and also in dependenceon a desired complexity of the decorrelation (which determines theparameter K, and which may be adjusted, for example, in dependence on acomplexity information included in an encoded representation of an audiocontent).

Taking reference now to FIG. 24, the complexity reduction for the 22.2output format will be described in more detail. As already outlinedabove, one possible solution for constructing the premixing matrix andthe postmixing matrix is to use the spatial information of thereproduction layout to select the channels to be mixed together andcompute the mixing coefficients. Based on their position, thegeometrically related loudspeakers (and, for example, the rendered audiosignals associated therewith) are grouped together, taking vertical andhorizontal pairs, as described in the table of FIG. 24. In other words,FIG. 24 shows, in the form of a table, a grouping of loudspeakerpositions, which may be associated with rendered audio signals. Forexample, a first row 2410 describes a first group of loudspeakerpositions, which are in a center of an audio scene. A second row 2412represents a second group of loudspeaker positions, which are spatiallyrelated. Loudspeaker positions “CH_M_L135” and “CH_U_L135” areassociated with identical azimuth positions (or equivalently horizontalpositions) and adjacent elevation positions (or equivalently, verticallyadjacent positions). Similarly, positions “CH_M_R135” and “CH_U_R135”comprise identical azimuth (or, equivalently, identical horizontalposition) and similar elevation (or, equivalently, vertically adjacentposition). Moreover, positions “CH_M_L135”, “CH_U_L135”, “CH_M_R135” and“CH_U_R135” form a quadruple of positions, wherein positions “CH_M_L135”and “CH_U_L135” are symmetrical to positions “CH_M_R135” and “CH_U_R135”with respect to a center plane of the audio scene. Moreover, positions“CH_M_180” and “CH_U_180” also comprise identical azimuth position (or,equivalently, identical horizontal position) and similar elevation (or,equivalently, adjacent vertical position). A third row 2414 represents athird group of positions. It should be noted that positions “CH_M_L030”and “CH_L_L045” are spatially adjacent positions and comprise similarazimuth (or, equivalently, similar horizontal position) and similarelevation (or, equivalently, similar vertical position). The same holdsfor positions “CH_M_R030” and “CH_L_R045”. Moreover, the positions ofthe third group of positions form a quadruple of positions, whereinpositions “CH_M_L030” and “CH_L_L045” are spatially adjacent, andsymmetrical with respect to a center plane of the audio scene, topositions “CH_M_R030” and “CH_L_R045”.

A fourth row 2416 represents four additional positions, which havesimilar characteristics when compared to the first four positions of thesecond row, and which form a symmetrical quadruple of positions.

A fifth row 2418 represents another quadruple of symmetrical positions“CH_M_L060”, “CH_U_L045”, “CH_M_R060” and “CH_U_R045”.

Moreover, it should be noted that rendered audio signals associated withthe positions of the different groups of positions may be combined moreand more with decreasing number of decorrelators. For example, in thepresence of eleven individual decorrelators in a multi-channeldecorrelator, rendered audio signals associated with positions in thefirst and second column may be combined for each group. In addition,rendered audio signals associated with the positions represented in athird and a fourth column may be combined for each group. Furthermore,rendered audio signals associated with the positions shown in the fifthand sixth column may be combined for the second group. Accordingly,eleven downmix decorrelator input signals (which are input into theindividual decorrelators) may be obtained. However, if it is desired tohave less individual decorrelators, rendered audio signals associatedwith the positions shown in columns 1 to 4 may be combined for one ormore of the groups. Also, rendered audio signals associated with allpositions of the second group may be combined, if it is desired tofurther reduce a number of individual decorrelators.

To summarize, the signals fed to the output layout (for example, to thespeakers) have horizontal and vertical dependencies, that should bepreserved during the decorrelation process. Therefore, the mixingcoefficients are computed such that the channels corresponding todifferent loudspeaker groups are not mixed together.

Depending on the number of available decorrelators, or the desired levelof decorrelation, in each group first are mixed together the verticalpairs (between the middle layer and the upper layer or between themiddle layer and the lower layer). Second, the horizontal pairs (betweenleft and right) or remaining vertical pairs are mixed together. Forexample, in group three, first the channels in the left vertical pair(“CH_M_L030” and “CH_L_L045”), and in the right vertical pair(“CH_M_R030” and “CH_L_R045”), are mixed together, reducing in this waythe number of necessitated decorrelators for this group from four totwo. If it is desired to reduce even more the number of decorrelators,the obtained horizontal pair is downmixed to only one channel, and thenumber of necessitated decorrelators for this group is reduced from fourto one.

Based on the presented mixing rules, the tables mentioned above (forexample, shown in FIGS. 19 to 23) are derived for different levels ofdesired decorrelation (or for different levels of desired decorrelationcomplexity).

16. Compatibility with a Secondary External Renderer/Format Converter

In the case when the SAOC decoder (or, more generally, the multi-channelaudio decoder) is used together with an external secondaryrenderer/format converter, the following changes to the proposed concept(method or apparatus) may be used:

-   -   the internal rendering matrix R (e.g., of the renderer) is set        to identity R=_(N) _(Object) (when an external renderer is used)        or initialized with the mixing coefficients derived from an        intermediate rendering configuration (when an external format        converter is used).    -   the number of decorrelators is reduced using the method        described in section 15 with the premixing matrix M_(pre)        computed based on the feedback information received from the        renderer/format converter (e.g., M_(pre)=D_(convert) where        D_(convert) is the downmix matrix used inside the format        converter). The channels which will be mixed together outside        the SAOC decoder, are premixed together and fed to the same        decorrelator inside the SAOC decoder.

Using an external format converter, the SAOC internal renderer willpre-render to an intermediate configuration (e.g., the configurationwith the highest number of loudspeakers).

To conclude, in some embodiments an information about which of theoutput audio signals are mixed together in an external renderer orformat converter are used to determine the premixing matrix M_(pre),such that the premixing matrix defines a combination of suchdecorrelator input signals (of the first set of decorrelator inputsignals) which are actually combined in the external renderer. Thus,information received from the external renderer/format converter (whichreceives the output audio signals of the multi-channel decoder) is usedto select or adjust the premixing matrix (for example, when the internalrendering matrix of the multi-channel audio decoder is set to identity,or initialized with the mixing coefficients derived from an intermediaterendering configuration), and the external renderer/format converter isconnected to receive the output audio signals as mentioned above withrespect to the multi-channel audio decoder.

17. Bitstream

In the following, it will be described which additional signalinginformation can be used in a bitstream (or, equivalently, in an encodedrepresentation of the audio content). In embodiments according to theinvention, the decorrelation method may be signaled into the bitstreamfor ensuring a desired quality level. In this way, the user (or an audioencoder) has more flexibility to select the method based on the content.For this purpose, the MPEG SAOC bitstream syntax can be, for example,extended with two bits for specifying the used decorrelation methodand/or two bits for specifying the configuration (or complexity).

FIG. 25 shows a syntax representation of bitstream elements“bsDecorrelationMethod” and “bsDecorrelationLevel”, which may be added,for example, to a bitstream portion “SAOCSpecifigConfig( )” or“SAOC3DSpecificConfig( )”. As can be seen in FIG. 25, two bits may beused for the bitstream element “bsDecorrelationMethod”, and two bits maybe used for the bitstream element “bsDecorrelationLevel”.

FIG. 26 shows, in the form of a table, an association between values ofthe bitstream variable “bsDecorrelationMethod” and the differentdecorrelation methods. For example, three different decorrelationmethods may be signaled by different values of said bitstream variable.For example, an output covariance correction using decorrelated signals,as described, for example, in section 14.3, may be signaled as one ofthe options. As another option, a covariance adjustment method, forexample, as described in section 14.4.1 may be signaled. As yet anotheroption, an energy compensation method, for example, as described insection 14.4.2 may be signaled. Accordingly, three different methods forthe reconstruction of signal characteristics of the output audio signalson the basis of the rendered audio signals and the decorrelated audiosignals can be selected in dependence on a bitstream variable.

Energy compensation mode uses the method described in section 14.4.2,limited covariance adjustment mode uses the method described in section14.4.1, and general covariance adjustment mode uses the method describedin section 14.3.

Taking reference now to FIG. 27, which shows, in the form of a tablerepresentation, how different decorrelation levels can be signaled bythe bitstream variable “bsDecorrelationLevel”, a method for selectingthe decorrelation complexity will be described. In other words, saidvariable can be evaluated by a multi-channel audio decoder comprisingthe multi-channel decorrelator described above to decide whichdecorrelation complexity is used. For example, said bitstream parametermay signal different decorrelation “levels” which may be designated withthe values: 0, 1, 2 and 3.

An example of decorrelation configurations (which may, for example, bedesignated as decorrelation levels”) is given in the table of FIG. 27.FIG. 27 shows a table representation of a number of decorrelators fordifferent “levels” (e.g., decorrelation levels) and outputconfigurations. In other words, FIG. 27 shows the number K ofdecorrelator input signals (of the second set of decorrelator inputsignals), which is used by the multi-channel decorrelator. As can beseen in the table of FIG. 27, a number of (individual) decorrelatorsused in the multi-channel decorrelator is switched between 11, 9, 7 and5 for a 22.2 output configuration, in dependence on which “decorrelationlevel” is signaled by the bitstream parameter “bsDecorrelationLevel”.For a 10.1 output configuration, a selection is made between 10, 5, 3and 2 individual decorrelators, for an 8.1 configuration, a selection ismade between 8, 4, 3 or 2 individual decorrelators, and for a 7.1 outputconfiguration, a selection is made between 7, 4, 3 and 2 decorrelatorsin dependence on the “decorrelation level” signaled by said bitstreamparameter. In the 5.1 output configuration, there are only three validoptions for the numbers of individual decorrelators, namely 5, 3, or 2.For the 2.1 output configuration, there is only a choice between twoindividual decorrelators (decorrelation level 0) and one individualdecorrelator (decorrelation level 1).

To summarize, the decorrelation method can be determined at the decoderside based on the computational power and an available number ofdecorrelators. In addition, selection of the number of decorrelators maybe made at the encoder side and signaled using a bitstream parameter.

Accordingly, both the method how the decorrelated audio signals areapplied, to obtain the output audio signals, and the complexity for theprovision of the decorrelated signals can be controlled from the side ofan audio encoder using the bitstream parameters shown in FIG. 25 anddefined in more detail in FIGS. 26 and 27.

18. Fields of Application for the Inventive Processing

It should be noted that it is one of the purposes of the introducedmethods to restore audio cues, which are of greater importance for humanperception of an audio scene. Embodiments according to the inventionimprove a reconstruction accuracy of energy level and correlationproperties and therefore increase perceptual audio quality of the finaloutput signal. Embodiments according to the invention can be applied foran arbitrary number of downmix/upmix channels. Moreover, the methods andapparatuses described herein can be combined with existing parametricsource separation algorithms. Embodiments according to the inventionallow to control computational complexity of the system by settingrestrictions on the number of applied decorrelator functions.Embodiments according to the invention can lead to a simplification ofthe object-based parametric construction algorithms like SAOC byremoving an MPS transcoding step.

19. Encoding/Decoding Environment

In the following, an audio encoding/decoding environment will bedescribed in which concepts according to the present invention can beapplied.

A 3D audio codec system, in which concepts according to the presentinvention can be used, is based on an MPEG-D USAC codec for coding ofchannel and object signals to increase the efficiency for coding a largeamount of objects. MPEG-SAOC technology has been adapted. Three types ofrenderers perform the tasks of rendering objects to channels, renderingchannels to headphones or rendering channels to different loudspeakersetups. When object signals are explicitly transmitted or parametricallyencoded using SAOC, the corresponding object metadata information iscompressed and multiplexed into the 3D audio stream.

FIGS. 28, 29 and 30 show the different algorithmic blocks of the 3Daudio system.

FIG. 28 shows a block schematic diagram of such an audio encoder, andFIG. 29 shows a block schematic diagram of such an audio decoder. Inother words, FIGS. 28 and 29 show the different algorithm blocks of the3D audio system.

Taking reference now to FIG. 28, which shows a block schematic diagramof a 3D audio encoder 2900, some details will be explained. The encoder2900 comprises an optional pre-renderer/mixer 2910, which receives oneor more channel signals 2912 and one or more object signals 2914 andprovides, on the basis thereof, one or more channel signals 2916 as wellas one or more object signals 2918, 2920. The audio encoder alsocomprises an USAC encoder 2930 and optionally an SAOC encoder 2940. TheSAOC encoder 2940 is configured to provide one or more SAOC transportchannels 2942 and a SAOC side information 2944 on the basis of one ormore objects 2920 provided to the SAOC encoder. Moreover, the USACencoder 2930 is configured to receive the channel signals 2916comprising channels and pre-rendered objects from the pre-renderer/mixer2910, to receive one or more object signals 2918 from thepre-renderer/mixer 2910, and to receive one or more SAOC transportchannels 2942 and SAOC side information 2944, and provides, on the basisthereof, an encoded representation 2932. Moreover, the audio encoder2900 also comprises an object metadata encoder 2950 which is configuredto receive object metadata 2952 (which may be evaluated by thepre-renderer/mixer 2910) and to encode the object metadata to obtainencoded object metadata 2954. Encoded metadata is also received by theUSAC encoder 2930 and used to provide the encoded representation 2932.

Some details regarding the individual components of the audio encoder2900 will be described below.

Taking reference now to FIG. 29, an audio decoder 3000 will bedescribed. The audio decoder 3000 is configured to receive an encodedrepresentation 3010 and to provide, on the basis thereof, amulti-channel loudspeaker signal 3012, headphone signals 3014 and/orloudspeaker signals 3016 in an alternative format (for example, in a 5.1format). The audio decoder 3000 comprises a USAC decoder 3020, whichprovides one or more channel signals 3022, one or more pre-renderedobject signals 3024, one or more object signals 3026, one or more SAOCtransport channels 3028, a SAOC side information 3030 and a compressedobject metadata information 3032 on the basis of the encodedrepresentation 3010. The audio decoder 3000 also comprises an objectrenderer 3040, which is configured to provide one or more renderedobject signals 3042 on the basis of the one or more object signals 3026and an object metadata information 3044, wherein the object metadatainformation 3044 is provided by an object metadata decoder 3050 on thebasis of the compressed object metadata information 3032. The audiodecoder 3000 also comprises, optionally, an SAOC decoder 3060, which isconfigured to receive the SAOC transport channel 3028 and the SAOC sideinformation 3030, and to provide, on the basis thereof, one or morerendered object signals 3062. The audio decoder 3000 also comprises amixer 3070, which is configured to receive the channel signals 3022, thepre-rendered object signals 3024, the rendered object signals 3042 andthe rendered object signals 3062, and to provide, on the basis thereof,a plurality of mixed channel signals 3072, which may, for example,constitute the multi-channel loudspeaker signals 3012. The audio decoder3000 may, for example, also comprise a binaural renderer 3080, which isconfigured to receive the mixed channel signals 3072 and to provide, onthe basis thereof, the headphone signals 3014. Moreover, the audiodecoder 3000 may comprise a format conversion 3090, which is configuredto receive the mixed channel signals 3072 and a reproduction layoutinformation 3092 and to provide, on the basis thereof, a loudspeakersignal 3016 for an alternative loudspeaker setup.

In the following, some details regarding the components of the audioencoder 2900 and of the audio decoder 3000 will be described.

19.1. Pre-Renderer/Mixer

The pre-renderer/mixer 2910 can be optionally used to convert a channelplus object input scene into a channel scene before encoding.Functionally, it may, for example, be identical to the objectrenderer/mixer described below.

Pre-rendering of objects may, for example, ensure a deterministic signalentropy at the encoder input that is basically independent of the numberof simultaneously active object signals.

Wth pre-rendering of objects, no object metadata transmission isnecessitated.

Discrete object signals are rendered to the channel layout that theencoder is configured to use, the weights of the objects for eachchannel are obtained from the associated object metadata (OAM) 1952.

19.2. USAC Core Codec

The core codec 2930, 3020 for loudspeaker-channel signals, discreteobject signals, object downmix signals and pre-rendered signals is basedon MPEG-D USAC technology. It handles decoding of the multitude ofsignals by creating channel- and object-mapping information based on thegeometric and semantic information of the input channel and objectassignment. This mapping information describes, how input channels andobjects are mapped to USAC channel elements (CPEs, SCEs, LFEs) and thecorresponding information is transmitted to the decoder.

All additional payloads like SAOC data or object metadata have beenpassed through extension elements and have been considered in theencoders rate control. Decoding of objects is possible in differentways, dependent on the rate/distortion requirements and theinteractivity requirements for the renderer. The following object codingvariants are possible:

-   -   Pre-rendered objects: object signals are pre-rendered and mixed        to the 22.2 channel signals before encoding. The subsequent        coding chain sees 22.2 channel signals.    -   Discrete object waveforms: objects as applied as monophonic        waveforms to the encoder. The encoder uses single channel        elements SCEs to transmit the objects in addition to the channel        signals. The decoded objects are rendered and mixed at the        receiver side. Compressed object metadata information is        transmitted to the receiver/renderer alongside.    -   Parametric object waveforms: object properties and their        relation to each other are described by means of SAOC        parameters. The downmix of the object signals is coded with        USAC. The parametric information is transmitted alongside. The        number of downmix channels is chosen depending on the number of        objects and the overall data rate. Compressed object metadata        information is transmitted to the SAOC renderer.

19.3. SAOC

The SAOC encoder 2940 and the SAOC decoder 3060 for object signals arebased on MPEG SAOC technology. The system is capable of recreating,modifying and rendering a number of audio objects based on a smallernumber of transmitted channels and additional parametric data (objectlevel differences OLDs, inter-object correlations IOCs, downmix gainsDMGs). The additional parametric data exhibits a significantly lowerdata rate than necessitated for transmitted all objects individually,making decoding very efficient. The SAOC encoder takes as input theobject/channel signals as monophonic waveforms and outputs theparametric information (which is packed into the 3D audio bitstream2932, 3010) and the SAOC transport channels (which are encoded usingsingle channel elements and transmitted). The SAOC decoder 3000reconstructs the object/channel signals from the decoded SAOC transportchannels 3028 and parametric information 3030, and generates the outputaudio scene based on the reproduction layout, the decompressed objectmetadata information and optionally on the user interaction information.

19.4. Obiect Metadata Codec

For each object, the associated metadata that specifies the geometricalposition and volume of the object in 3D space is efficiently coded byquantization of the object properties in time and space. The compressedobject metadata cOAM 2954, 3032 is transmitted to the receiver as sideinformation.

19.5. Obiect Renderer/Mixer

The object renderer utilizes the decompressed object metadata OAM 3044to generate object waveforms according to the given reproduction format.Each object is rendered to certain output channels according to itsmetadata. The output of this block results from the sum of the partialresults.

If both channel based content as well as discrete/parametric objects aredecoded, the channel based waveforms and the rendered object waveformsare mixed before outputting the resulting waveforms (or before feedingthem to a post-processor module like the binaural renderer or theloudspeaker renderer module).

19.6. Binaural Renderer

The binaural renderer module 3080 produces a binaural downmix of themulti-channel audio material, such that each input channel isrepresented by a virtual sound source. The processing is conductedframe-wise in QMF domain. The binauralization is based on measuredbinaural room impulse responses.

19.7. Loudspeaker Renderer/Format Conversion

The loudspeaker renderer 3090 converts between the transmitted channelconfiguration and the desired reproduction format. It is thus called“format converter” in the following. The format converter performsconversions to lower numbers of output channels, i.e. it createsdownmixes. The system automatically generates optimized downmix matricesfor the given combination of input and output formats and applies thesematrices in a downmix process. The format converter allows for standardloudspeaker configurations as well as for random configurations withnon-standard loudspeaker positions.

FIG. 30 shows a block schematic diagram of a format converter. In otherwords, FIG. 30 shows the structure of the format converter.

As can be seen, the format converter 3100 receives mixer output signals3110, for example the mixed channel signals 3072, and providesloudspeaker signals 3112, for example the speaker signals 3016. Theformat converter comprises a downmix process 3120 in the QMF domain anda downmix configurator 3130, wherein the downmix configurator providesconfiguration information for the downmix process 3020 on the basis of amixer output layout information 3032 and a reproduction layoutinformation 3034.

19.8. General Remarks

Moreover, it should be noted that the concepts described herein, forexample, the audio decoder 100, the audio encoder 200, the multi-channeldecorrelator 600, the multi-channel audio decoder 700, the audio encoder800 or the audio decoder 1550 can be used within the audio encoder 2900and/or within the audio decoder 3000. For example, the audioencoders/decoders mentioned above may be used as part of the SAOCencoder 2940 and/or as a part of the SAOC decoder 3060. However, theconcepts mentioned above may also be used at other positions of the 3Daudio decoder 3000 and/or of the audio encoder 2900.

Naturally, the methods mentioned above may also be used in concepts forencoding or decoding audio information according to FIGS. 28 and 29.

20. Additional Embodiment 20.1 Introduction

In the following, another embodiment according to the present inventionwill be described.

FIG. 31 shows a block schematic diagram of a downmix processor,according to an embodiment of the present invention.

The downmix processor 3100 comprises an unmixer 3110, a renderer 3120, acombiner 3130 and a multi-channel decorrelator 3140. The rendererprovides rendered audio signals Y_(dry) to the combiner 3130 and to themultichannel decorrelator 3140. The multichannel decorrelator comprisesa premixer 3150, which receives the rendered audio signals (which may beconsidered as a first set of decorrelator input signals) and provides,on the basis thereof, a premixed second set of decorrelator inputsignals to a decorrelator core 3160. The decorrelator core provides afirst set of decorrelator output signals on the basis of the second setof decorrelator input signals for usage by a postmixer 3170. thepostmixer postmixes (or upmixes) the decorrelator output signalsprovided by the decorrelator core 3160, to obtain a postmixed second setof decorrelator output signals, which is provided to the combiner 3130.

The renderer 3130 may, for example, apply a matrix R for the rendering,the premixer may, for example, apply a matrix M_(pre) for the premixing,the postmixer may, for example, apply a matrix M_(post) for thepostmixing, and the combiner may, for example, apply a matrix P for thecombining.

It should be noted that the downmix processor 3100, or individualcomponents or functionalities thereof, may be used in the audio decodersdescribed herein. Moreover, it should be noted that the downmixprocessor may be supplemented by any of the features and functionalitiesdescribed herein.

20.2 SAOC 3D Processing

The hybrid filterbank described in ISO/IEC 23003-1:2007 is applied. Thedequantization of the DMG, OLD, IOC parameters follows the same rules asdefined in 7.1.2 of ISO/IEC 23003-2:2010.

20.2.1 Signals and Parameters

The audio signals are defined for every time slot n and every hybridsubband k. The corresponding SAOC 3D parameters are defined for eachparameter time slot 1 and processing band m. The subsequent mappingbetween the hybrid and parameter domain is specified by Table A.31 ofISO/IEC 23003-1:2007. Hence, all calculations are performed with respectto the certain time/band indices and the corresponding dimensionalitiesare implied for each introduced variable.

The data available at the SAOC 3D decoder consists of the multi-channeldownmix signal X, the covariance matrix E, the rendering matrix R anddownmix matrix D.

20.2.1.1 Object Parameters

The covariance matrix E of size N×N with elements e_(i,j) represents anapproximation of the original signal covariance matrix E≈SS* and isobtained from the OLD and IOC parameters as:

e _(i,j)=√{square root over (OLD _(i) OLD _(j))}IOC _(i,j).

Here, the dequantized object parameters are obtained as:

OLD _(i) =D _(OLD)(i,l,m),IOC _(i,j) =D _(IOC)(i,j,l,m)

20.2.1.3 Downmix Matrix

The downmix matrix D applied to the input audio signals S determines thedownmix signal as X=DS. The downmix matrix D of size N_(dmx)×N isobtained as:

D=D _(dmx) D _(premix).

The matrix D_(dmx) and matrix D_(premix) have different sizes dependingon the processing mode. The matrix D_(dmx) is obtained from the DMGparameters as:

$d_{i,j} = \left\{ {\begin{matrix}{0,} & {{if}\mspace{14mu} {no}\mspace{14mu} {DMG}\mspace{14mu} {data}\mspace{14mu} {for}\mspace{14mu} \left( {i,j} \right)\mspace{14mu} {is}\mspace{14mu} {present}\mspace{14mu} {in}\mspace{14mu} {the}\mspace{14mu} {bitstream}} \\{10^{0.05\mspace{11mu} {DMG}_{i,j}},} & {otherwise}\end{matrix}.} \right.$

Here, the dequantized downmix parameters are obtained as:

DMG _(i,j) =D _(DMG)(i,j,l).

20.2.1.3.1 Direct Mode

In case of direct mode, no premixing is used. The matrix D_(premix) hasthe size N×N and is given by: D_(premix)=I. The matrix D_(dmx) has sizeN_(dmx)×N and is obtained from the DMG parameters according to 20.2.1.3.

20.2.1.3.2 Premixing Mode

In case of premixing mode the matrix D_(premix) has size(N_(ch)+N_(premix))×N and is given by:

${D_{premix} = \begin{pmatrix}I & 0 \\0 & A\end{pmatrix}},$

where the premixing matrix A of size N_(prem)×N_(obj) is received as aninput to the SAOC 3D decoder, from the object renderer.

The matrix D_(dmx) has size N_(dmx)×(N_(ch)+N_(premix)) and is obtainedfrom the DMG parameters according to 20.2.1.3

2.2.1.2 Rendering Matrix

The rendering matrix R applied to the input audio signals S determinesthe target rendered output as Y=RS. The rendering matrix R of sizeN_(out)×N is given by

R=(R _(ch) R _(obj)),

where R_(ch) of size N_(out)×N_(ch) represents the rendering matrixassociated with the input channels and R_(obj) of size N_(out)×N_(obj)represents the rendering matrix associated with the input objects.

20.2.1.4 Target Output Covariance Matrix

The covariance matrix c of size N_(out)×N_(out) with elements c_(i,j)represents an approximation of the target output signal covariancematrix C≈YY* and is obtained from the covariance matrix E and therendering matrix R:

C=RER*

20.2.2 Decoding

The method for obtaining an output signal using SAOC 3D parameters andrendering information is described. The SAOC 3D decoder my, for example,and consist of the SAOC 3D parameter processor and the SAOC 3D downmixprocessor.

20.2.2.1 Downmix Processor

The output signal of the downmix processor (represented in the hybridQMF domain) is fed into the corresponding synthesis filterbank asdescribed in ISO/IEC 23003-1:2007 yielding the final output of the SAOC3D decoder. A detailed structure of the downmix processor is depicted inFIG. 31

The output signal Y is computed from the multi-channel downmix signal xand the decorrelated multi-channel signal X_(d) as:

Ŷ=P _(dry) RUX+P _(wet) M _(post) X _(d),

where u represents the parametric unmixing matrix and is defined in20.2.2.1.1 and 20.2.2.1.2.

The decorrelated multi-channel signal X_(d) is computed according to20.2.3.

X _(d)=decorrFunc(M _(pre) Y _(dry)).

The mixing matrix P=(P_(dry) P_(wet)) is described in 20.2.3. Thematrices M_(pre) for different output configuration are given in FIGS.19 to 23 and the matrices M_(post) are obtained using the followingequation:

M _(post) =M* _(pre)(M _(pre) M* _(pre))⁻¹.

The decoding mode is controlled by the bitstream elementbsNumSaocDmxObjects, as shown in FIG. 32.

20.2.2.1.1 Combined Decoding Mode

In case of combined decoding mode the parametric unmixing matrix u isgiven by: U=ED*J

The matrix J of size N_(dmx) XN_(dmx) is given by J≈Δ⁻¹ with Δ=DED*.

20.2.2.1.2 Independent Decoding Mode

In case of independent decoding mode the unmixing matrix U is given by:

${U = \begin{pmatrix}U_{ch} & 0 \\0 & U_{obj}\end{pmatrix}},$

where U_(ch)=E_(ch)D_(ch)J_(ch) and U_(obj)=E_(obj)D*_(obj)J_(obj).

The channel based covariance matrix E_(ch) of size N_(ch)×N_(ch) and theobject based covariance matrix E_(obj) of size N_(obj)×N_(obj) areobtained from the covariance matrix E by selecting only thecorresponding diagonal blocks:

${E = \begin{pmatrix}E_{ch} & E_{{ch},{obj}} \\E_{{obj},{ch}} & E_{obj}\end{pmatrix}},$

where the matrix E_(ch,obj)=(E_(ob,ch) represents the cross-covariancematrix between the input channels and input objects and is not requiredto be calculated.

The channel based downmix matrix D_(ch) of size N_(ch) ^(dmx)×N_(ch) andthe object based downmix matrix D_(obj) of size N_(obj) ^(dmx)×N_(obj)are obtained from the downmix matrix D by selecting only thecorresponding diagonal blocks:

$D = {\begin{pmatrix}D_{ch} & 0 \\0 & D_{obj}\end{pmatrix}.}$

The matrix J_(ch)≈(D_(ch)E_(ch)D*_(ch))⁻¹ of size N_(ch) ^(dmx)×N_(ch)^(dmx) is derived accordingly to 20.2.2.1.4 for Δ=D_(ch)E_(ch)D*_(ch).

The matrix J_(obj)≈(D_(obj)E_(obj)D*_(obj))⁻¹ of size N_(obj)^(dmx)×N_(ch) ^(dmx) is derived accordingly to 20.2.2.1.4 forΔ=D_(obj)E_(obj)D_(obj)*.

20.2.2.1.4 Calculation of Matrix

The matrix J≈Δ⁻¹ is calculated using the following equation:

J=VΛ ^(inv) V*.

Here the singular vector v of the matrix Δ are obtained using thefollowing characteristic equation:

VΛV*=Δ.

The regularized inverse Λ^(inv) of the diagonal singular value matrix Λis computed as

$\lambda_{i,j}^{inv} = \left\{ {\begin{matrix}{\frac{1}{\lambda_{i,j}},} & {if} & {i = {{j\mspace{14mu} {and}\mspace{14mu} \lambda_{i,j}} \geq T_{reg}^{\Lambda}}} \\{0,} & {otherwise} & \;\end{matrix},} \right.$

The relative regularization scalar T_(reg) ^(A) is determined usingabsolute threshold T_(reg) and maximal value of Λ as

T _(reg) ^(Λ)=max(λ_(i,i))T _(reg) ,T _(reg)=10⁻²)

20.2.3. Decorrelation

The decorrelated signals X_(d) are created from the decorrelatordescribed in 6.6.2 of ISO/IEC 23003-1:2007, with bsDecorrConfig==0 and adecorrelator index, X, according to tables in FIGS. 19 to 24. Hence, thedecorrFunc( ) denotes the decorrelation process:

X _(d)=decorrFunc(M _(pre) Y _(dry)).

20.2.4. Mixing Matrix P

The calculation of mixing matrix P=(P_(dry) P_(wet)) is controlled bythe bitstream element bsDecorrelationMethod. The matrix P has sizeN_(out)×2N_(out) and the P_(dry) and P_(wet) have both the sizeN_(out)×N_(out).

20.2.4.1 Energy Compensation Mode

The energy compensation mode uses decorrelated signals to compensate forthe loss of energy in the parametric reconstruction. The mixing matricesP_(dry) and P_(wet) are given by:

${P_{dry} = I},{P_{i,j}^{wet} = \left\{ \begin{matrix}{\sqrt{\min\left( {\lambda_{Dec},{\max\left( {0,\frac{{C\left( {i,i} \right)} - {E_{Y}^{dry}\left( {i,i} \right)}}{\max \left( {ɛ,{E_{Y}^{wet}\left( {i,i} \right)}} \right)}} \right)}} \right)}\mspace{14mu}} & {{i = j},} \\0 & {i \neq {j.}}\end{matrix} \right.}$

where λ_(Dec)=4 is a constant used to limit the amount of decorrelatedcomponent added to the output signals.

20.2.4.2 Limited Covariance Adjustment Mode

The limited covariance adjustment mode ensures that the covariancematrix of the mixed decorrelated signals P_(wet)Y_(dry) approximates thedifference covariance matrix Δ_(E): P_(wet)E_(Y) ^(wet)P*_(wet)≈Δ_(E).The mixing matrices P_(dry) and P_(wet) are defined using the followingequations:

P _(dry) =I,

P _(wet)=(V ₁√{square root over (Q ₁)}V ₁*)(V ₂√{square root over (Q ₂^(inv))}V ₂*),

where the regularized inverse Q₂ ^(inv) of the diagonal singular valuematrix Q₂ is computed as

${Q_{2}^{inv}\left( {i,j} \right)} = \left\{ \begin{matrix}{\frac{1}{Q_{2}\left( {i,j} \right)},} & {if} & {{i = {{j\mspace{14mu} {and}\mspace{14mu} {Q_{2}\left( {i,j} \right)}} \geq T_{reg}^{\Lambda}}},} \\{0,} & {{otherwise},} & \;\end{matrix} \right.$

The relative regularization scalar T_(reg) ^(Λ) is determined usingabsolute threshold T_(reg) and maximal value of Q₂ ^(inv) as

T _(reg) ^(Λ)=max(Q ₂ ^(inv)(i,i))T _(reg) ,T _(reg)=10⁻².

The matrix Δ_(E) is decomposed using the Singular Value Decompositionas:

Δ_(E) =V ₁ Q ₁ V* ₁.

The covariance matrix of the decorrelated signals E_(Y) ^(wet) is alsoexpressed using Singular Value Decomposition:

E _(Y) ^(wet) =V ₂ Q ₂ V ₂*.

20.2.4.3. General Covariance Adjustment Mode

The general covariance adjustment mode ensures that the covariancematrix of the final output signals Ŷ(E_(Ŷ)=ŶŶ*) approximates the targetcovariance matrix: E_(Ŷ)≈C. The mixing matrix P is defined using thefollowing equation:

P=(V ₁√{square root over (Q ₁)}V ₁*)H(V ₂√{square root over (Q ₂^(inv))}V ₂*),

where the regularized inverse Q₂ ^(inv) of the diagonal singular valuematrix Q₂ is computed as

${Q_{2}^{inv}\left( {i,j} \right)} = \left\{ \begin{matrix}{\frac{1}{Q_{2}\left( {i,j} \right)},} & {if} & {{i = {{j\mspace{14mu} {and}\mspace{14mu} {Q_{2}\left( {i,j} \right)}} \geq T_{reg}^{\Lambda}}},} \\{0,} & {{otherwise},} & \;\end{matrix} \right.$

The relative regularization scalar T_(reg) ^(Λ) is determined usingabsolute threshold T_(reg) and maximal value of Q₂ ^(inv) as

T _(reg) ^(Λ)=max(Q ₂ ^(inv)(i,i))T _(reg) ,T _(reg)=10⁻².

The target covariance matrix C is decomposed using the Singular ValueDecomposition as:

C=V ₁ Q ₁ V ₁*.

The covariance matrix of the combined signals E_(Y) ^(com) is alsoexpressed using Singular Value Decomposition:

E _(Y) ^(com) =V ₂ Q ₂ V ₂*.

The matrix H represents a prototype weighting matrix of size(N_(out)×2N_(out)) and is given by the following equation:

$H = {\begin{pmatrix}{1/\sqrt{2}} & 0 & \ldots & 0 & {1/\sqrt{2}} & 0 & \ldots & 0 \\0 & {1/\sqrt{2}} & \ldots & 0 & 0 & {1/\sqrt{2}} & \ldots & 0 \\\vdots & \vdots & \ddots & 0 & \vdots & \vdots & \ddots & 0 \\0 & 0 & \ldots & {1/\sqrt{2}} & 0 & 0 & \ldots & {1/\sqrt{2}}\end{pmatrix}.}$

20.2.4.4 Introduced Covariance Matrices

The matrix Δ_(E) represents the difference between the target outputcovariance matrix C and the covariance matrix E_(Y) ^(dry) of theparametrically reconstructed signals and is given by:

Δ_(E) =C−E _(Y) ^(dry).

The matrix E_(Y) ^(dry) represents the covariance matrix of theparametrically estimated signals E_(Y) ^(dry)≈Y_(dry)Y_(dry)* and isdefined using the following equation:

E _(Y) ^(dry) =RUEU*R*.

The matrix E_(Y) ^(wet) represents the covariance matrix of thedecorrelated signals E_(Y) ^(wet)≈Y_(wet)Y_(wet)* and is defined usingthe following equation:

E _(Y) ^(wet) =M _(post)[matdiag(M _(pre) E _(Y) ^(dry) M* _(pre))]M*_(post).

Considering the signal Y_(com) consisting of the combination of theparametric estimated and decorrelated signals:

${Y_{com} = \begin{pmatrix}Y_{dry} \\Y_{wet}\end{pmatrix}},$

the covariance matrix of Y_(com) is defined by the following equation:

$E_{Y}^{com} = {\begin{pmatrix}E_{Y}^{dry} & 0 \\0 & E_{Y}^{wet}\end{pmatrix}.}$

21. Implementation Alternatives

Although some aspects have been described in the context of anapparatus, it is clear that these aspects also represent a descriptionof the corresponding method, where a block or device corresponds to amethod step or a feature of a method step. Analogously, aspectsdescribed in the context of a method step also represent a descriptionof a corresponding block or item or feature of a correspondingapparatus. Some or all of the method steps may be executed by (or using)a hardware apparatus, like for example, a microprocessor, a programmablecomputer or an electronic circuit. In some embodiments, some one or moreof the most important method steps may be executed by such an apparatus.

The inventive encoded audio signal can be stored on a digital storagemedium or can be transmitted on a transmission medium such as a wirelesstransmission medium or a wired transmission medium such as the Internet.

Depending on certain implementation requirements, embodiments of theinvention can be implemented in hardware or in software. Theimplementation can be performed using a digital storage medium, forexample a floppy disk, a DVD, a Blu-Ray, a CD, a ROM, a PROM, an EPROM,an EEPROM or a FLASH memory, having electronically readable controlsignals stored thereon, which cooperate (or are capable of cooperating)with a programmable computer system such that the respective method isperformed. Therefore, the digital storage medium may be computerreadable.

Some embodiments according to the invention comprise a data carrierhaving electronically readable control signals, which are capable ofcooperating with a programmable computer system, such that one of themethods described herein is performed.

Generally, embodiments of the present invention can be implemented as acomputer program product with a program code, the program code beingoperative for performing one of the methods when the computer programproduct runs on a computer. The program code may for example be storedon a machine readable carrier.

Other embodiments comprise the computer program for performing one ofthe methods described herein, stored on a machine readable carrier.

In other words, an embodiment of the inventive method is, therefore, acomputer program having a program code for performing one of the methodsdescribed herein, when the computer program runs on a computer.

A further embodiment of the inventive methods is, therefore, a datacarrier (or a digital storage medium, or a computer-readable medium)comprising, recorded thereon, the computer program for performing one ofthe methods described herein. The data carrier, the digital storagemedium or the recorded medium are typically tangible and/ornon-transitionary.

A further embodiment of the inventive method is, therefore, a datastream or a sequence of signals representing the computer program forperforming one of the methods described herein. The data stream or thesequence of signals may for example be configured to be transferred viaa data communication connection, for example via the Internet.

A further embodiment comprises a processing means, for example acomputer, or a programmable logic device, configured to or adapted toperform one of the methods described herein.

A further embodiment comprises a computer having installed thereon thecomputer program for performing one of the methods described herein.

A further embodiment according to the invention comprises an apparatusor a system configured to transfer (for example, electronically oroptically) a computer program for performing one of the methodsdescribed herein to a receiver. The receiver may, for example, be acomputer, a mobile device, a memory device or the like. The apparatus orsystem may, for example, comprise a file server for transferring thecomputer program to the receiver.

In some embodiments, a programmable logic device (for example a fieldprogrammable gate array) may be used to perform some or all of thefunctionalities of the methods described herein. In some embodiments, afield programmable gate array may cooperate with a microprocessor inorder to perform one of the methods described herein. Generally, themethods may be performed by any hardware apparatus.

While this invention has been described in terms of several embodiments,there are alterations, permutations, and equivalents which will beapparent to others skilled in the art and which fall within the scope ofthis invention. It should also be noted that there are many alternativeways of implementing the methods and compositions of the presentinvention. It is therefore intended that the following appended claimsbe interpreted as including all such alterations, permutations, andequivalents as fall within the true spirit and scope of the presentinvention.

REFERENCES

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1. A multi-channel decorrelator for providing a plurality ofdecorrelated signals on the basis of a plurality of decorrelator inputsignals, wherein the multi-channel decorrelator is configured to premixa first set of N decorrelator input signals into a second set of Kdecorrelator input signals, wherein K<N; wherein the multi-channeldecorrelator is configured to provide a first set of K′ decorrelatoroutput signals on the basis of the second set of K decorrelator inputsignals; and wherein the multi-channel decorrelator is configured toupmix the first set of K′ decorrelator output signals into a second setof N′ decorrelator output signals, wherein N′>K′; wherein themulti-channel decorrelator is configured to combine channel signals ofthe first set of N decorrelator input signals which are associated withspatially adjacent positions of an audio scene when performing thepremixing.
 2. The multi-channel decorrelator according to claim 1,wherein K=K′.
 3. The multi-channel decorrelator according to claim 1,wherein N=N′.
 4. The multi-channel decorrelator according to claim 1,wherein N>=3 and N′>=3.
 5. The multi-channel decorrelator according toclaim 1, wherein the multi-channel decorrelator is configured to combinechannel signals of the first set of N decorrelator input signals whichare associated with vertically spatially adjacent positions of the audioscene when performing the premixing.
 6. The multi-channel decorrelatoraccording to claim 1, wherein the multi-channel decorrelator isconfigured to combine channel signals of the first set of N decorrelatorinput signals which are associated with a horizontal pair of spatialpositions comprising a left side position and a right side position. 7.The multi-channel decorrelator according to claim 1, wherein themulti-channel decorrelator is configured to combine at least fourchannel signals of the first set of N decorrelator input signals,wherein at least two of said at least four channel signals areassociated with spatial positions on a left side of an audio scene, andwherein at least two of said at least four channel signals areassociated with spatial positions on a right side of the audio scene. 8.The multi-channel decorrelator according claim 7, wherein the at leasttwo left-sided channel signals to be combined are associated withspatial positions which are symmetrical, with respect to a center planeof the audio scene, to the spatial positions associated with the atleast two right-sided channel signals to be combined.
 9. Themulti-channel decorrelator according to claim 1, wherein themulti-channel decorrelator is configured to receive a complexityinformation describing a number K of decorrelator input signals of thesecond set of decorrelator input signals, and wherein the multi-channeldecorrelator is configured to select a premixing matrix in dependence onthe complexity information.
 10. The multi-channel decorrelator accordingto claim 9, wherein the multi-channel decorrelator is configured tostep-wisely increase a number of decorrelator input signals of the firstset of decorrelator input signals which are combined to acquire thedecorrelator input signals of the second set of decorrelator inputsignals with a decreasing value of the complexity information.
 11. Themulti-channel decorrelator according to claim 9, wherein themulti-channel decorrelator is configured to combine only channel signalsof the first set of N decorrelator input signals which are associatedwith vertically spatially adjacent positions of an audio scene whenperforming the premixing for a first value of the complexityinformation, and wherein the multi-channel decorrelator is configured tocombine at least two channel signals of the first set of N decorrelatorinput signals which are associated with vertically spatially adjacentpositions on a left side of the audio scene and at least two channelsignals of the first set of N decorrelator input signals which areassociated with vertically spatially adjacent positions on a right sideof the audio scene in order to acquire a given signal of the second setof decorrelator input signals when performing the premixing for a secondvalue of the complexity information.
 12. The multi-channel decorrelatoraccording to claim 9, wherein the multi-channel decorrelator isconfigured to combine at least four channel signals of the first set ofN decorrelator input signals, wherein at least two of said at least fourchannel signals are associated with spatial positions on a left side ofan audio scene, and wherein at least two of said at least four channelsignals are associated with spatial positions on a right side of anaudio scene, in order to acquire a given signal of the second set ofdecorrelator input signals when performing the premixing for a secondvalue of the complexity information.
 13. The multi-channel decorrelatoraccording to claim 9, wherein the multi-channel decorrelator isconfigured to combine at least two channel signals of the first set of Ndecorrelator input signals which are associated with verticallyspatially adjacent positions on a left side of the audio scene, in orderto acquire a first decorrelator input signal of the second set ofdecorrelator input signals, and to combine at least two channel signalsof the first set of N decorrelator input signals which are associatedwith vertically spatially adjacent positions on a right side of theaudio scene, in order to acquire a second decorrelator input signal ofthe second set of decorrelator input signals for a first value of thecomplexity information, and wherein the multi-channel decorrelator isconfigured to combine the at least two channel signals of the first setof N decorrelator input signals which are associated with verticallyspatially adjacent positions of the left side of the audio scene and theat least two channel signals of the first set of N decorrelator inputsignals which are associated with vertically spatially adjacentpositions on the right side of the audio scene, in order to acquire adecorrelator input signal of the second set of decorrelator inputsignals for a second value of the complexity information, wherein anumber of decorrelator input signals of the second set of decorrelatorinput signals is larger for the first value of the complexityinformation than for the second value of the complexity information. 14.A multi-channel audio decoder for providing at least two output audiosignals on the basis of an encoded representation, wherein themulti-channel audio decoder comprises a multi-channel decorrelatoraccording to claim
 1. 15. The multi-channel audio decoder according toclaim 14, wherein the multi-channel audio decoder is configured torender a plurality of decoded audio signals, which are acquired on thebasis of the encoded representation, in dependence on one or morerendering parameters, to acquire a plurality of rendered audio signals,and wherein the multi-channel audio decoder is configured to derive oneor more decorrelated audio signals from the rendered audio signals usingthe multi-channel decorrelator, wherein the rendered audio signalsconstitute the first set of decorrelator input signals, and wherein thesecond set of decorrelator output signals constitute the decorrelatedaudio signals, and wherein the multi-channel audio decoder is configuredto combine the rendered audio signals, or a scaled version thereof, withthe one or more decorrelated audio signals, to acquire the output audiosignals.
 16. The multi-channel audio decoder according to claim 14,wherein the multi-channel audio decoder is configured to select apremixing matrix for usage by the multi-channel decorrelator independence on a control information comprised in the encodedrepresentation.
 17. The multi-channel audio decoder according to claim14, wherein the multi-channel audio decoder is configured to select apremixing matrix for usage by the multi-channel decorrelator independence on an output configuration describing an allocation of theoutput audio signals with spatial positions of an audio scene.
 18. Themulti-channel audio decoder according to claim 14, wherein themulti-channel audio decoder is configured to select between three ormore different premixing matrices for usage by the multi-channeldecorrelator in dependence on a control information comprised in theencoded representation for a given output configuration, wherein each ofthe three or more different premixing matrices is associated with adifferent number of signals of the second set of K decorrelator inputsignals.
 19. The multi-channel audio decoder according to claim 14,wherein the multi-channel audio decoder is configured to select apremixing matrix for usage by the multi-channel decorrelator independence on a mixing matrix which is used by an format converter orrenderer which receives the at least two output audio signals.
 20. Themulti-channel audio decoder according to claim 19, wherein themulti-channel audio decoder is configured to select the premixing matrixfor usage by the multi-channel decorrelator to be equal to a mixingmatrix which is used by a format converter or renderer which receivesthe at least two output audio signals.
 21. A method for providing aplurality of decorrelated signals on the basis of a plurality ofdecorrelator input signals, the method comprising: premixing a first setof N decorrelator input signals into a second set of K decorrelatorinput signals, wherein K<N; providing a first set of K′ decorrelatoroutput signals on the basis of the second set of K decorrelator inputsignals; and upmixing the first set of K′ decorrelator output signalsinto a second set of N′ decorrelator output signals, wherein N′>K′;wherein channel signals of the first set of N decorrelator input signalswhich are associated with spatially adjacent positions of an audio sceneare combined when performing the premixing.
 22. A non-transitory digitalstorage medium having stored thereon a computer program for performingthe method of claim 21 when said computer program is run by a computer.